{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004267428,0.0004973898,0.000212726,0.002185924,0.005505132,0.006482831,0.001675165,0.001624911,0.01543088],"category_scores_gemma":[0.007896951,0.0003808338,0.0005576815,0.002236995,0.007590294,0.008567229,0.00983492,0.003478221,0.002479453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007129798,"about_ca_system_score_gemma":0.02543266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348586,"about_ca_topic_score_gemma":0.02877392,"domain_scores_codex":[0.9967508,0.001803282,0.00007604626,0.0003091642,0.0006768164,0.000383864],"domain_scores_gemma":[0.9956748,0.0008790364,0.000329321,0.0003944874,0.0006287578,0.00209356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005676489,0.0002878493,0.003873849,0.0001310143,0.00002455932,0.0002043052,0.004453894,0.002416622,0.0004232664,0.9050829,0.0162436,0.06680132],"study_design_scores_gemma":[0.0001121336,0.000271276,0.002927815,0.0004032745,0.0000353391,0.0003274846,0.005181721,0.004374276,0.0005500194,0.6225709,0.3631907,0.00005493571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05356896,0.001509992,0.2298799,0.1282278,0.0008285976,0.0008401025,0.0003620877,0.0008889394,0.5838936],"genre_scores_gemma":[0.7273674,0.004098572,0.1506512,0.009379833,0.0001796238,0.001584693,0.0002514888,0.0002310535,0.1062561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01543088,"threshold_uncertainty_score":0.05173057,"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."}}