{"id":"W2591826646","doi":"10.17269/cjph.107.5585","title":"The economic consequences of obesity and overweight among adults in Quebec","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université de Sherbrooke; Université du Québec à Montréal; Université Laval; Institut National de Santé Publique du Québec","funders":"Canadian Institutes of Health Research; Ministère de la Santé; Ministère de la Santé et des Services sociaux","keywords":"Overweight; Obesity; Body mass index; Medicine; Demography; Health care; Consumption (sociology); Productivity; Environmental health; Gerontology; Population; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004521951,0.0001984137,0.0002737561,0.001086392,0.002428176,0.001599163,0.0007352392,0.0006779288,0.003741276],"category_scores_gemma":[0.001472418,0.0002201151,0.0006621031,0.002754869,0.0005336794,0.000566058,0.0008463193,0.001222179,0.0001843128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02289834,"about_ca_system_score_gemma":0.01609373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955137,"about_ca_topic_score_gemma":0.9977714,"domain_scores_codex":[0.9994965,0.0000760336,0.0000374932,0.00003894632,0.0001201339,0.0002308828],"domain_scores_gemma":[0.9989758,0.000063917,0.0002412978,0.00002142436,0.0002874418,0.0004101768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000842981,0.00009008212,0.9874434,0.00003299002,0.0001249919,0.0003217055,0.0007104765,0.0002379639,0.00007931567,0.0004638541,0.00312552,0.007285378],"study_design_scores_gemma":[0.000008896834,0.00000973559,0.9968522,0.00004044552,0.00002347066,0.00003869311,0.00129182,0.0002495911,0.00001025932,0.00003574949,0.001432208,0.000006864399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832426,0.002318069,0.00006783548,0.003579745,0.00006712143,0.00003174637,0.004421244,0.000007418269,0.006264131],"genre_scores_gemma":[0.9950352,0.001178406,0.0000755381,0.000424107,0.00001998228,0.00001534461,0.0008954072,0.000003446989,0.002352655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289834,"threshold_uncertainty_score":0.1661399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060365852534222,"score_gpt":0.2609528946825611,"score_spread":0.2403492361572189,"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."}}