{"id":"W2579606709","doi":"10.5539/hes.v7n1p46","title":"Student Attraction, Persistence and Retention in STEM Programs: Successes and Continuing Challenges","year":2017,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":353,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attrition; Outreach; Persistence (discontinuity); Drop out; Professional development; Psychology; Medical education; Mathematics education; Public relations; Political science; Pedagogy; Medicine; 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":[0.008302914,0.0001564194,0.000466699,0.001375043,0.001476276,0.00441232,0.001333497,0.0007120051,0.003831903],"category_scores_gemma":[0.0281178,0.0001239154,0.0004095456,0.00145711,0.0008928393,0.002011687,0.003103955,0.001351304,0.0007076542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009151646,"about_ca_system_score_gemma":0.004147289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003956614,"about_ca_topic_score_gemma":0.008061095,"domain_scores_codex":[0.9965283,0.001046653,0.0002358961,0.0002538582,0.001272892,0.0006623302],"domain_scores_gemma":[0.9760355,0.007240921,0.003564919,0.0005726617,0.004730271,0.007855671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008991038,0.000527741,0.5388452,0.0004495743,0.00006741431,0.0001353226,0.003544801,0.0001633065,0.000275642,0.00150527,0.0035444,0.4508514],"study_design_scores_gemma":[0.00001582649,0.0009803539,0.9503092,0.0007692777,0.00007934542,0.0003264817,0.02139297,0.0006324367,0.000796804,0.003420382,0.02121043,0.00006648211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588529,0.01023783,0.001067902,0.01381441,0.000153316,0.00008100279,0.0002341691,0.00005564257,0.01550288],"genre_scores_gemma":[0.9937878,0.002987182,0.000436815,0.000463273,0.0001379628,0.00003817023,0.0001529984,0.00001106177,0.001984556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008302914,"threshold_uncertainty_score":0.0439105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079240324305691,"score_gpt":0.3864384595733265,"score_spread":0.2785144271427573,"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."}}