{"id":"W4386006104","doi":"10.1002/9781444309768.ch18","title":"Obesity","year":2009,"lang":"en","type":"other","venue":"","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; University of Alberta","funders":"","keywords":"Natural history; Perspective (graphical); Incidence (geometry); Obesity; History; Geography; Medicine; Pathology; Computer science; Internal medicine; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002924535,0.0005873859,0.0003177807,0.001187624,0.0005230862,0.001148693,0.0003728897,0.0004988803,0.1514745],"category_scores_gemma":[0.000806387,0.0001352737,0.0003486981,0.001083543,0.0002496525,0.000735008,0.0008113474,0.001081107,0.06251727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590711,"about_ca_system_score_gemma":0.0005829536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476397,"about_ca_topic_score_gemma":0.002959933,"domain_scores_codex":[0.9998703,0.0000178619,0.00001054616,0.00002694201,0.00005683137,0.00001756168],"domain_scores_gemma":[0.9998659,0.00002551697,0.00001380271,0.00001700517,0.0000501573,0.00002752419],"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":[0.00003485608,0.00005070834,0.0005775507,0.0002637941,0.000008432035,0.0001129221,0.00009901367,0.00004608275,0.00046959,0.01544868,0.5857863,0.3971019],"study_design_scores_gemma":[0.000002570851,0.00001194287,0.001270168,0.000221672,0.000004186093,0.0002790632,0.00004647805,0.00001344073,0.00008057951,0.001926865,0.9961399,0.000003224807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002209134,0.05394299,0.004585797,0.01368474,0.02612801,0.0001448821,0.003415265,0.0005589066,0.8953303],"genre_scores_gemma":[0.006675452,0.06046256,0.003942615,0.006204225,0.006532246,0.0001303876,0.003635595,0.0002752294,0.9121417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1514745,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140409310423512,"score_gpt":0.2715662570805772,"score_spread":0.257525326038226,"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."}}