{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003295264,0.000308318,0.0007585349,0.0001470289,0.0001131721,0.00001254096,0.0002807266,0.000165076,0.0007810164],"category_scores_gemma":[0.001311984,0.0002134159,0.0003123866,0.0004978251,0.0003847911,0.000127424,0.0001146657,0.0004583336,0.0001474022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984027,"about_ca_system_score_gemma":0.00007508697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143281,"about_ca_topic_score_gemma":0.00002473492,"domain_scores_codex":[0.9954128,0.001569739,0.0004374555,0.0003974143,0.00183144,0.0003511566],"domain_scores_gemma":[0.9958839,0.002056131,0.0002884397,0.0008824826,0.0007681053,0.000120941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002500081,0.06749968,0.6672927,0.003722005,0.002529742,0.00007291362,0.002201069,0.0004197564,0.0944214,0.07379041,0.01242987,0.07312043],"study_design_scores_gemma":[0.002733718,0.001008793,0.8413234,0.0005481223,0.0007482386,0.000008196687,0.00004558166,0.001409014,0.1468746,0.004712625,0.0003699861,0.0002177236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689812,0.0002292301,0.00001996122,0.0008934048,0.0003138414,0.0011564,0.00003745351,0.00005206661,0.02831645],"genre_scores_gemma":[0.9991735,0.00004669914,0.00003326516,0.0001387938,0.0003488569,0.00006936389,0.00001658542,0.00004737357,0.0001256187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1740308,"threshold_uncertainty_score":0.8702849,"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."}}