{"id":"W1989851321","doi":"10.3138/jvme.34.2.56","title":"Pathways: Missouri Model for Enhancing Diversity","year":2007,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Medical education; Medicine; Veterinary medicine; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004229115,0.0001090084,0.0002487607,0.0001740362,0.0009291978,0.000005895636,0.0002314503,0.0001691699,0.0003025461],"category_scores_gemma":[0.003511418,0.00009263316,0.0001142922,0.0001179421,0.00004621787,0.0003862634,0.0001713897,0.0005412355,0.00002537685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526174,"about_ca_system_score_gemma":0.002525047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000227642,"about_ca_topic_score_gemma":0.00001920062,"domain_scores_codex":[0.9980718,0.0001493062,0.0008233093,0.0001244127,0.0005007003,0.0003304906],"domain_scores_gemma":[0.9970108,0.001024445,0.0007415362,0.0001372103,0.0006959372,0.0003900589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008820098,0.005459842,0.02800232,0.002648737,0.000507978,0.0001813668,0.259545,0.00006038074,0.01673887,0.0022042,0.4652239,0.2106073],"study_design_scores_gemma":[0.006502153,0.006190266,0.0618805,0.003310131,0.0004691971,0.001810709,0.2348717,0.004749248,0.0001662583,0.007382873,0.6717607,0.0009062995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350159,0.0004431556,0.05197686,0.006574973,0.004549466,0.0002502849,0.000002410721,0.00001656887,0.00117034],"genre_scores_gemma":[0.9867036,0.0002551005,0.006126233,0.003751977,0.002033765,0.00001621481,0.000004579225,0.00001343765,0.001095099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.209701,"threshold_uncertainty_score":0.7146732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5396524259465977,"score_gpt":0.5526051799197568,"score_spread":0.01295275397315909,"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."}}