{"id":"W2004872262","doi":"10.1503/cmaj.109-3927","title":"The skinny on BMI report cards","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Body mass index; Obesity; Medicine; Computer security; Computer science; Gerontology; History; Pathology; Ancient history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001942825,0.0006844316,0.0005498278,0.001945513,0.001130392,0.001648725,0.0008965053,0.0008761662,0.2716678],"category_scores_gemma":[0.01530148,0.0005197094,0.0004005582,0.00105285,0.0003268431,0.001538046,0.002034422,0.001517671,0.1284663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005384739,"about_ca_system_score_gemma":0.0008854669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268086,"about_ca_topic_score_gemma":0.004140762,"domain_scores_codex":[0.9979412,0.0005527795,0.0002431765,0.0002381748,0.0007241896,0.0003005195],"domain_scores_gemma":[0.9897292,0.001734267,0.0009658421,0.001877161,0.003826824,0.001866783],"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":[0.0002860117,0.0001779009,0.006120024,0.0001000271,0.000006306991,0.00007561885,0.0001451087,0.00002942071,0.0004270909,0.001526117,0.8829796,0.1081268],"study_design_scores_gemma":[0.0001333934,0.0001508234,0.03254993,0.0002551609,0.00001339405,0.0001868407,0.0008026759,0.000268164,0.001361996,0.001605893,0.9626125,0.00005914532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05390401,0.0009190177,0.01472264,0.02949357,0.01888233,0.00580258,0.1331552,0.01293767,0.7301829],"genre_scores_gemma":[0.127869,0.00196711,0.0480833,0.02398178,0.003698468,0.005688607,0.07964356,0.001909032,0.7071591],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2716678,"threshold_uncertainty_score":0.9088194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422580310777129,"score_gpt":0.2541163060539173,"score_spread":0.239890502946146,"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."}}