{"id":"W4300924662","doi":"10.1097/acm.0000000000004901","title":"From What We Are Doing to Why: Describing RIME’s Core Values","year":2022,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Hard rime; Psychology; Sociology; Political science; Geography; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.01509701,0.000690607,0.0005171869,0.001346535,0.01461386,0.02288706,0.002333626,0.006358131,0.005673891],"category_scores_gemma":[0.02515035,0.0004976777,0.0004907914,0.001692233,0.02779972,0.02061773,0.0109766,0.01609948,0.002658054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006960384,"about_ca_system_score_gemma":0.009364796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991236,"about_ca_topic_score_gemma":0.01143598,"domain_scores_codex":[0.9867069,0.009376164,0.0003763931,0.0007005228,0.001579018,0.001260999],"domain_scores_gemma":[0.9897856,0.005317405,0.0007922105,0.0006924051,0.00148656,0.00192586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002368706,0.00004523792,0.0008419752,0.0002774948,0.00001086893,0.0008034735,0.4020438,0.00007380293,0.0003214781,0.3424203,0.2233922,0.02974565],"study_design_scores_gemma":[0.000003476346,0.00002206871,0.0004795757,0.0007227937,0.000004430987,0.0005370154,0.1509323,0.0001070629,0.0002275076,0.0333099,0.8136132,0.00004073623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03174374,0.03438869,0.01252857,0.5735483,0.01464437,0.000147824,0.0001529587,0.0002931253,0.3325524],"genre_scores_gemma":[0.6393996,0.02918904,0.01888264,0.1666419,0.008003249,0.0006510129,0.000284844,0.001153135,0.1357945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02288706,"threshold_uncertainty_score":0.07984155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069023691272128,"score_gpt":0.3778970065554718,"score_spread":0.270994637428259,"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."}}