{"id":"W4404167581","doi":"10.70472/bkle5334","title":"Obesity: The Canadian perspective.","year":2020,"lang":"en","type":"article","venue":"Pathways.","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Obesity; Medicine; Computer science; Internal medicine; Artificial intelligence","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":[0.001491576,0.0009970122,0.0006178946,0.002641992,0.006373996,0.003643557,0.001277935,0.004996243,0.03389385],"category_scores_gemma":[0.004098072,0.00041926,0.0006078494,0.004076705,0.002505949,0.002058431,0.002025214,0.007253391,0.00485694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03147765,"about_ca_system_score_gemma":0.1044667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.940911,"about_ca_topic_score_gemma":0.9786797,"domain_scores_codex":[0.9985279,0.0001052469,0.00005750463,0.0001148479,0.0006778568,0.0005166343],"domain_scores_gemma":[0.9944931,0.0001822692,0.0001311517,0.00004466299,0.002292496,0.002856391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008868334,0.00001209886,0.0007291405,0.0001526422,0.000005632091,0.0001250282,0.0002418517,0.00002118753,0.00002040323,0.003307116,0.9567907,0.03858536],"study_design_scores_gemma":[0.000006882278,0.000007546589,0.00463614,0.0009563362,0.00001067032,0.0002780207,0.001269561,0.00002461118,0.000008867462,0.0009831589,0.9917976,0.00002068242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0004497393,0.2908361,0.00008662327,0.6344341,0.02637703,0.00001362569,0.0007067421,0.00004122868,0.04705482],"genre_scores_gemma":[0.01833775,0.6665563,0.000541278,0.1878351,0.01772555,0.00004296753,0.0008429684,0.00006486222,0.1080534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.059089,"threshold_uncertainty_score":0.2283874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711953432846204,"score_gpt":0.4243859460370282,"score_spread":0.2531906027524077,"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."}}