{"id":"W2602263124","doi":"","title":"Evaluation of commercial packages on the effectiveness of weight loss","year":2002,"lang":"en","type":"article","venue":"Zhōnghuá mínguó yíngyǎng xuéhuì zázhì","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Weight loss; Reliability engineering; Computer science; Environmental science; Medicine; Engineering; Internal medicine; Obesity","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":[0.002576544,0.0006685306,0.0008844424,0.0009275873,0.0002846791,0.0005871481,0.0006310543,0.0006830117,0.005998729],"category_scores_gemma":[0.005492092,0.0002317993,0.0009587087,0.0007241585,0.0005152583,0.0008975566,0.0004714898,0.0006802512,0.0003867906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146988,"about_ca_system_score_gemma":0.0004327612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000859052,"about_ca_topic_score_gemma":0.0006262903,"domain_scores_codex":[0.9985813,0.0008097132,0.0001142673,0.0001538794,0.0002583801,0.00008242291],"domain_scores_gemma":[0.9978684,0.001314859,0.0002410009,0.0001182169,0.0002449171,0.0002125051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.4219238,0.05528851,0.005956953,0.005134202,0.001511631,0.0001549041,0.0007164461,0.001262343,0.03893722,0.0008828976,0.001329176,0.4669019],"study_design_scores_gemma":[0.03954104,0.8062932,0.05599156,0.0008970845,0.007370414,0.0001565016,0.001060984,0.006596525,0.07162409,0.0006266265,0.00971458,0.0001274676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920887,0.004094243,0.00101682,0.0001954163,0.0001500195,0.0004467037,0.0002524978,0.00005969081,0.001695976],"genre_scores_gemma":[0.9924442,0.002629098,0.002638588,0.00009402959,0.0001021209,0.0002941673,0.0003242302,0.00002542556,0.001448095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005998729,"threshold_uncertainty_score":0.02006775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757538260921806,"score_gpt":0.311544363283231,"score_spread":0.263968980674013,"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."}}