{"id":"W1993030505","doi":"10.3109/0142159x.2014.990878","title":"How we made professionalism relevant to twenty-first century residents","year":2015,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Social media; Curriculum; Medical education; Psychology; Value (mathematics); Medicine; Pedagogy; Computer science","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":[0.01174344,0.0004063259,0.0002171722,0.0007299272,0.007691082,0.005834634,0.001126005,0.00306688,0.004549972],"category_scores_gemma":[0.02830718,0.0004242083,0.0004500991,0.0002336167,0.01275814,0.004806885,0.00806378,0.006031164,0.001608417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002952143,"about_ca_system_score_gemma":0.01180012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229289,"about_ca_topic_score_gemma":0.006656573,"domain_scores_codex":[0.9914669,0.005881752,0.0001383387,0.0004699802,0.0009447645,0.001098407],"domain_scores_gemma":[0.98066,0.004202368,0.001161213,0.0009677477,0.00285979,0.01014889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001126333,0.001156354,0.0240627,0.0007259004,0.0000556004,0.002072421,0.5731434,0.0003491082,0.006516446,0.02525258,0.1096506,0.2569022],"study_design_scores_gemma":[0.00005554265,0.0007864739,0.01360291,0.0007523319,0.00004352315,0.001969127,0.3377542,0.0003672916,0.002593181,0.02428426,0.617678,0.0001131664],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5053887,0.004228082,0.01852608,0.3902597,0.005765802,0.0002522969,0.00004919156,0.0004680908,0.07506204],"genre_scores_gemma":[0.9217461,0.002318897,0.01713684,0.03168325,0.0009014372,0.0001610695,0.00003324991,0.0001350137,0.02588402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174344,"threshold_uncertainty_score":0.06210601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653589060070119,"score_gpt":0.4328695861105264,"score_spread":0.2675106801035145,"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."}}