{"id":"W2955733076","doi":"10.2196/14651","title":"Building a Medical Education Outcomes Center: Development Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gordon and Betty Moore Foundation","keywords":"Accreditation; Medical education; Identifier; Medicine; Family medicine; Computer 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":[0.05382638,0.0008285121,0.0004705673,0.004400771,0.001845067,0.00396613,0.004395739,0.0009477563,0.007598167],"category_scores_gemma":[0.06988141,0.0006580257,0.000839982,0.003774996,0.0009516167,0.004937163,0.005650965,0.001999961,0.002019592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006901406,"about_ca_system_score_gemma":0.03105885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375616,"about_ca_topic_score_gemma":0.01236621,"domain_scores_codex":[0.9735874,0.01378912,0.002151211,0.002106888,0.005963546,0.002401932],"domain_scores_gemma":[0.8895058,0.02313247,0.005638496,0.010434,0.05098154,0.02030771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001327496,0.01610712,0.501227,0.0008963398,0.0001751501,0.0004777118,0.005569011,0.003487451,0.002999432,0.01162692,0.06863432,0.3874721],"study_design_scores_gemma":[0.002468471,0.01221709,0.5658368,0.001639453,0.0004425847,0.0008130959,0.02349692,0.03014535,0.02309839,0.004526262,0.3350024,0.000313102],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6879469,0.0003925242,0.1210125,0.009663827,0.0006431495,0.09111223,0.03676953,0.004585319,0.04787407],"genre_scores_gemma":[0.5176943,0.0003350318,0.3831947,0.002598789,0.0002125233,0.04942818,0.03835189,0.0008515046,0.007333091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05382638,"threshold_uncertainty_score":0.2846645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189872766702792,"score_gpt":0.4008734786412313,"score_spread":0.3889747509742034,"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."}}