{"id":"W4225003145","doi":"10.36834/cmej.74041","title":"Barriers or costs? Understanding faculty resistance to curricular change","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resistance (ecology); Computer science; Data science; Medical education; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03101491,0.0002625033,0.000536419,0.001423436,0.00240026,0.006094367,0.001136094,0.002394462,0.003833414],"category_scores_gemma":[0.1915233,0.0003937375,0.000628752,0.001400976,0.004128877,0.006798343,0.004681792,0.004028022,0.0002716488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039924,"about_ca_system_score_gemma":0.01617915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355306,"about_ca_topic_score_gemma":0.04136164,"domain_scores_codex":[0.960592,0.01978693,0.001998082,0.001576547,0.01035929,0.005687112],"domain_scores_gemma":[0.8081243,0.1278391,0.03494415,0.003489119,0.01401252,0.01159088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003252328,0.001032914,0.4501156,0.001513956,0.0004813856,0.0003876486,0.109279,0.001558568,0.0009626831,0.02763717,0.02603436,0.3806715],"study_design_scores_gemma":[0.000125069,0.0007014288,0.6450239,0.004645688,0.0004504828,0.0004611384,0.2363146,0.003319725,0.001527883,0.03112072,0.07608282,0.0002265118],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6830189,0.006109846,0.002329113,0.2780336,0.0003490074,0.0001005229,0.0001683704,0.00003825473,0.02985238],"genre_scores_gemma":[0.9917053,0.001592338,0.0008440816,0.004839236,0.00007856489,0.00006878662,0.00003480714,0.00001573436,0.0008211196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03355306,"threshold_uncertainty_score":0.1640245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05563674603070705,"score_gpt":0.3638731190786458,"score_spread":0.3082363730479388,"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."}}