Cheng, You, He, Chuanxiuyue, Hegarty, Mary, and Chrastil, Elizabeth R. Who believes they are good navigators? A machine learning pipeline highlights the impact of gender, commuting time, and education. Retrieved from https://par.nsf.gov/biblio/10465602. Machine Learning with Applications 10.C Web. doi:10.1016/j.mlwa.2022.100419.

Cheng, You, He, Chuanxiuyue, Hegarty, Mary, & Chrastil, Elizabeth R. Who believes they are good navigators? A machine learning pipeline highlights the impact of gender, commuting time, and education. Machine Learning with Applications, 10 (C). Retrieved from https://par.nsf.gov/biblio/10465602. https://doi.org/10.1016/j.mlwa.2022.100419

Cheng, You, He, Chuanxiuyue, Hegarty, Mary, and Chrastil, Elizabeth R. "Who believes they are good navigators? A machine learning pipeline highlights the impact of gender, commuting time, and education". Machine Learning with Applications 10 (C). Country unknown/Code not available. https://doi.org/10.1016/j.mlwa.2022.100419. https://par.nsf.gov/biblio/10465602.

@article{osti_10465602,
place = {Country unknown/Code not available}, title = {Who believes they are good navigators? A machine learning pipeline highlights the impact of gender, commuting time, and education}, url = {https://par.nsf.gov/biblio/10465602}, DOI = {10.1016/j.mlwa.2022.100419}, abstractNote = {}, journal = {Machine Learning with Applications}, volume = {10}, number = {C}, author = {Cheng, You and He, Chuanxiuyue and Hegarty, Mary and Chrastil, Elizabeth R.}, }