{"id":"W4403439250","doi":"10.1503/cmaj.241029","title":"Professional stigmatizations","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo","funders":"","keywords":"Computer science; World Wide Web; Data science; Medicine","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":[0.01167966,0.0002913639,0.0004315447,0.001804456,0.01566706,0.004080788,0.001048548,0.003004693,0.006661736],"category_scores_gemma":[0.03245156,0.0003436885,0.0004769456,0.001546477,0.01334647,0.002858034,0.007788399,0.005338848,0.0005811686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01156343,"about_ca_system_score_gemma":0.01646143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09604499,"about_ca_topic_score_gemma":0.08389857,"domain_scores_codex":[0.9834584,0.007532702,0.0006562187,0.000910883,0.004316465,0.003125401],"domain_scores_gemma":[0.9746658,0.01114301,0.003991351,0.002036192,0.004638038,0.00352569],"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":[0.00003947339,0.00005922398,0.02213704,0.0002289894,0.00002435652,0.001923903,0.8557551,0.00008230483,0.0008457548,0.07197158,0.02084015,0.0260922],"study_design_scores_gemma":[0.00002047276,0.00004935011,0.02953325,0.001809741,0.00002285651,0.00356896,0.7022781,0.0003724646,0.0007609532,0.02245425,0.2390426,0.00008690761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6089633,0.005364583,0.004546113,0.1352337,0.001588345,0.0003069363,0.0002776138,0.00005607368,0.2436633],"genre_scores_gemma":[0.9826545,0.001339017,0.0004799172,0.008081496,0.0001432685,0.00005713739,0.00004157298,0.00002134332,0.007181711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09604499,"threshold_uncertainty_score":0.1909719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562264951216074,"score_gpt":0.3577078998632801,"score_spread":0.3420852503511193,"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."}}