{"id":"W4407719917","doi":"10.46747/cfp.710285","title":"Weight normativity in action","year":2025,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Action (physics); Computer science; Data science; Physics","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":[0.00331619,0.0005507877,0.0004883038,0.0009376567,0.00312155,0.005113628,0.001080141,0.002356641,0.04253525],"category_scores_gemma":[0.009691826,0.0001984024,0.0004724555,0.0005893835,0.005287613,0.002652411,0.003845429,0.00456733,0.0102946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00564584,"about_ca_system_score_gemma":0.009509978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03915333,"about_ca_topic_score_gemma":0.06109305,"domain_scores_codex":[0.9967802,0.0006850288,0.0001518201,0.0003807803,0.001646661,0.000355464],"domain_scores_gemma":[0.9953969,0.000603321,0.0002553755,0.0004511854,0.00196198,0.001331325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002689019,0.0001235233,0.002452669,0.0002994517,0.00004114148,0.0003815716,0.00205375,0.0001265078,0.001438857,0.2104978,0.4233144,0.3590014],"study_design_scores_gemma":[0.00002966688,0.00004890058,0.001843022,0.0002829607,0.00001492624,0.0003144246,0.0005428558,0.00005852097,0.0002838683,0.0212094,0.9753539,0.00001753211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007769971,0.02902882,0.005683364,0.2492538,0.03126194,0.00006828191,0.0004165299,0.0004356699,0.6760817],"genre_scores_gemma":[0.2480039,0.04491784,0.0111315,0.1726232,0.0202032,0.0002615101,0.0009498093,0.0007911659,0.5011179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04253525,"threshold_uncertainty_score":0.1422946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151647969565321,"score_gpt":0.2469342814728775,"score_spread":0.2317694845163454,"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."}}