{"id":"W7095314547","doi":"","title":"ANALYSIS OF ONTARIO HEALTH UNIT DATA FROM THE WAIST CIRCUMFERENCE RRFSSi MODULE EXECUTIVE SUMMARY","year":2010,"lang":"en","type":"article","venue":"","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waist; Circumference; Body mass index; Public health; Health promotion; Obesity; Anthropometry; Executive summary; Action plan","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00325469,0.0006042416,0.0006898035,0.00317053,0.001179775,0.001007119,0.001378103,0.0003173856,0.007201693],"category_scores_gemma":[0.01001777,0.0004961048,0.0008929988,0.01123254,0.0002937588,0.0002669325,0.0007822471,0.0003706681,0.002004799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01704546,"about_ca_system_score_gemma":0.03171572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798557,"about_ca_topic_score_gemma":0.9868368,"domain_scores_codex":[0.9957922,0.0005403496,0.0003820087,0.0003420667,0.00238694,0.000556477],"domain_scores_gemma":[0.9892397,0.00087142,0.001517497,0.0009927661,0.006748206,0.0006303789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006861298,0.0001444573,0.8356327,0.0004025675,0.0004188232,0.0001224818,0.000581214,0.00126677,0.0003633889,0.0003775251,0.1294274,0.03057656],"study_design_scores_gemma":[0.00002843254,0.00002561132,0.9854127,0.0000284352,0.00003068643,0.000009437238,0.0001044423,0.0003083059,0.00006338657,0.00001276754,0.01396743,0.000008337726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2624812,0.0007111214,0.001230464,0.0005336031,0.00005605856,0.00151576,0.7135546,0.0001596937,0.01975753],"genre_scores_gemma":[0.3158849,0.0008442182,0.003213176,0.0003380498,0.00006598402,0.002296245,0.6545669,0.000103967,0.02268655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02014434,"threshold_uncertainty_score":0.123674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560803683310313,"score_gpt":0.2975209547885368,"score_spread":0.2419129179554337,"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."}}