{"id":"W2993179731","doi":"10.5430/ijhe.v10n4p161","title":"Exploring Factors that Predict STEM Persistence at a Large, Public Research University","year":2021,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Graduation (instrument); Tracking (education); First generation; Ethnic group; Demographics; Demography; White (mutation); Psychology; Political science; Sociology; Biology; Mathematics; Pedagogy; Population; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223053,0.0001187852,0.0002040276,0.0008972975,0.0011247,0.001301751,0.0004276506,0.0003010583,0.003586652],"category_scores_gemma":[0.004322672,0.0001263275,0.0002011372,0.0009976878,0.0003230796,0.0008576984,0.001418608,0.0009310095,0.0005372014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006265616,"about_ca_system_score_gemma":0.001735652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131348,"about_ca_topic_score_gemma":0.04930073,"domain_scores_codex":[0.9994944,0.0001012598,0.00003913885,0.00008734986,0.0001061386,0.0001717221],"domain_scores_gemma":[0.9967775,0.0004618987,0.001007406,0.0002074326,0.0003849031,0.001160947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001001175,0.00006333849,0.9951659,0.000005808153,0.000007370796,0.00001523357,0.0007175447,0.00003531732,0.00007867185,0.00008638534,0.0002173119,0.003597111],"study_design_scores_gemma":[9.977846e-7,0.00004575001,0.9934958,0.00001703174,0.000004452279,0.00002909698,0.0054364,0.0001704541,0.0000607515,0.00008030954,0.0006551053,0.000003945065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990024,0.00004274923,0.00007546346,0.0001793842,0.000002536036,0.000005788609,0.0001673888,0.000002310627,0.0005221334],"genre_scores_gemma":[0.9991847,0.00004892777,0.00007835467,0.00003642552,0.000004088147,0.000007508118,0.0002356263,0.000001555332,0.000402893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131348,"threshold_uncertainty_score":0.04237884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4404844716929293,"score_gpt":0.3856918357345426,"score_spread":0.05479263595838663,"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."}}