{"id":"W6894328033","doi":"10.5683/sp2/erwnvc","title":"METRICS Model for Medical Education Scholarship","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scholarship; Value (mathematics); Higher education; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003471647,0.0011309,0.0006723887,0.006402368,0.0007529426,0.002778884,0.001866789,0.001595725,0.008335869],"category_scores_gemma":[0.0236795,0.000231838,0.001205394,0.008597723,0.0005418812,0.002881762,0.00211487,0.002099463,0.006951293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003882352,"about_ca_system_score_gemma":0.003060642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478036,"about_ca_topic_score_gemma":0.0390307,"domain_scores_codex":[0.9963291,0.001030304,0.000484792,0.0008214056,0.001072766,0.0002615402],"domain_scores_gemma":[0.9940726,0.001744295,0.0006123135,0.001322509,0.001790367,0.000457996],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002879889,0.0004025536,0.03280974,0.0008966815,0.0002221031,0.0001162636,0.0003206039,0.03826388,0.0005048234,0.06875143,0.6942406,0.1631833],"study_design_scores_gemma":[0.0001664601,0.000268522,0.03322354,0.0004934492,0.00008263904,0.0003315192,0.0004351635,0.2000981,0.001004074,0.1905719,0.5732249,0.0000997226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03870563,0.004124697,0.08240285,0.01021807,0.0009423978,0.0005461027,0.8323807,0.006897624,0.02378198],"genre_scores_gemma":[0.1374052,0.001669299,0.06744622,0.0009801763,0.0003003216,0.001126796,0.7796087,0.00047839,0.01098492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9965283,"threshold_uncertainty_score":0.04927224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07288459846933544,"score_gpt":0.3731577621730867,"score_spread":0.3002731637037513,"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."}}