{"id":"W3093790142","doi":"10.18260/1-2--34704","title":"Gendered Professional Role Confidence and Persistence of Artificial Intelligence and Machine Learning Students","year":2020,"lang":"en","type":"article","venue":"2020 ASEE Virtual Annual Conference Content Access Proceedings","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Persistence (discontinuity); Field (mathematics); Logistic regression; Psychology; Representation (politics); Artificial intelligence; Contradiction; Self-confidence; Confidence interval; Social psychology; Computer science; Machine learning; Engineering; Statistics; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00364371,0.0001685557,0.0003748106,0.001525273,0.001555741,0.004418836,0.0007918182,0.0009904716,0.01183876],"category_scores_gemma":[0.02425564,0.0002232077,0.0003197497,0.000834479,0.00202471,0.002148337,0.002397701,0.001995935,0.001639203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115289,"about_ca_system_score_gemma":0.00171293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007353543,"about_ca_topic_score_gemma":0.008305809,"domain_scores_codex":[0.9978351,0.0004480707,0.0001191117,0.0002539751,0.0006443363,0.0006994952],"domain_scores_gemma":[0.9765176,0.006530385,0.005935065,0.0008690984,0.002427591,0.007720293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002961649,0.00049326,0.9375602,0.00003924175,0.00003099952,0.0003487432,0.02714277,0.0000774588,0.0004615072,0.00319159,0.001855963,0.02850207],"study_design_scores_gemma":[0.00001830749,0.000299509,0.9325125,0.0001190161,0.00001550442,0.0005483329,0.05682672,0.0003381401,0.0002551581,0.003078861,0.00595381,0.00003427424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916807,0.0005537193,0.0001413525,0.001198648,0.00006107242,0.000008716911,0.00009794375,0.000004422624,0.006253484],"genre_scores_gemma":[0.9972231,0.0001291566,0.00003034087,0.0001261441,0.00001713813,0.000005394665,0.00004484688,0.000004169294,0.002419783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183876,"threshold_uncertainty_score":0.0396046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1842729241534257,"score_gpt":0.3239933115240626,"score_spread":0.1397203873706369,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}