{"id":"W2912445392","doi":"10.22454/primer.2019.799272","title":"Primary Care Tracks in Medical Schools","year":2019,"lang":"en","type":"article","venue":"PRiMER","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Mentorship; Economic shortage; Family medicine; Medicine; Ambulatory care; Medical education; Health care; Nursing; Psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001930778,0.0001313112,0.0002131437,0.001302619,0.002151112,0.002092354,0.0006274257,0.0007816148,0.02100185],"category_scores_gemma":[0.007636463,0.0002579848,0.0002349749,0.002312413,0.0006258532,0.0007737347,0.001990626,0.0006817488,0.001550996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002785331,"about_ca_system_score_gemma":0.00519755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018415,"about_ca_topic_score_gemma":0.03640331,"domain_scores_codex":[0.9976063,0.0003804227,0.0001767368,0.000358057,0.0008405679,0.0006379465],"domain_scores_gemma":[0.9803448,0.001847735,0.007348271,0.0003818709,0.001905831,0.008171386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003725421,0.000111044,0.9704493,0.0001037507,0.00001245078,0.00007674058,0.001939168,0.00004682641,0.0002037611,0.0002368888,0.00493785,0.021845],"study_design_scores_gemma":[0.000006489401,0.0001250002,0.9893482,0.00006700688,0.000004621002,0.0001504901,0.003215124,0.00004205306,0.00004498574,0.00006409801,0.006927853,0.000003987711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844791,0.001117621,0.0002589747,0.002686125,0.0001127067,0.0001053242,0.001352433,0.00005183354,0.009835903],"genre_scores_gemma":[0.9957002,0.0004311661,0.0003409512,0.0007255705,0.00009962414,0.00005174775,0.0007335599,0.000007256266,0.001909949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02100185,"threshold_uncertainty_score":0.0702582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064152076014534,"score_gpt":0.4180495766774996,"score_spread":0.3874080559173543,"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."}}