{"id":"W4245376047","doi":"10.1503/cmaj.1150019","title":"Obesity solutions?","year":2015,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obesity; Legislation; Population; Computer science; Medicine; Environmental health; Political science; Endocrinology; Law","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":[0.004851414,0.0009957056,0.001025467,0.001035166,0.008227682,0.005616725,0.002120854,0.04975899,0.0255651],"category_scores_gemma":[0.02226119,0.0006440553,0.001339198,0.000626547,0.00553612,0.009070466,0.005150658,0.05800601,0.01136421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00639093,"about_ca_system_score_gemma":0.01214721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253135,"about_ca_topic_score_gemma":0.02850832,"domain_scores_codex":[0.995355,0.001164286,0.0003339878,0.0006426276,0.001450663,0.001053375],"domain_scores_gemma":[0.9916823,0.002695865,0.000470403,0.0002082342,0.001477391,0.003465811],"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":[0.000009847693,0.00002630393,0.0001498476,0.00004022588,0.000004701736,0.0003259283,0.0002304048,0.00001401806,0.00005566842,0.004931225,0.9849598,0.009252134],"study_design_scores_gemma":[0.00001805965,0.0000249584,0.0003108041,0.0003987661,0.00000527167,0.0005964637,0.0008041064,0.00004515237,0.00003906654,0.009487112,0.9882486,0.00002153552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00005448554,0.001396864,0.00003466596,0.9899441,0.007281965,0.000002280331,0.00001166067,0.000008454412,0.001265465],"genre_scores_gemma":[0.0007174882,0.0009006851,0.00005774588,0.987792,0.007108096,0.00000744747,0.00001044345,0.000008881024,0.003397321],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04975899,"threshold_uncertainty_score":0.08552372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07966881717877076,"score_gpt":0.4032218687507397,"score_spread":0.3235530515719689,"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."}}