{"id":"W4406575478","doi":"10.1016/s1558-0164(06)70033-5","title":"10.1016/s1558-0164(06)70033-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Orlistat; Medicine; Internal medicine; Obesity; Weight loss","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001044779,0.002268595,0.001563576,0.002689577,0.00201809,0.004188914,0.002826697,0.005680162,0.9895328],"category_scores_gemma":[0.001825444,0.0009396524,0.001199892,0.002834775,0.001726564,0.005464909,0.002899312,0.002436305,0.993247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189196,"about_ca_system_score_gemma":0.001178661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00363305,"about_ca_topic_score_gemma":0.003155725,"domain_scores_codex":[0.9993126,0.00006091919,0.00005512689,0.0002432271,0.0001832077,0.0001448234],"domain_scores_gemma":[0.9981076,0.0004828274,0.00014268,0.0002745347,0.0003962032,0.0005961554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002866555,0.000205068,0.0009440982,0.0004811921,0.00003471711,0.0002393141,0.0001006554,0.0004960141,0.001859896,0.007727553,0.3951115,0.5925133],"study_design_scores_gemma":[0.00004375494,0.00008401907,0.0006336089,0.0002568344,0.00001320795,0.0002444361,0.0001049443,0.0002717228,0.0003574314,0.0008753865,0.997094,0.000020637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004433308,0.0003423527,0.0008495777,0.0004392158,0.0002506007,0.00008916102,0.0009201929,0.001006795,0.9956589],"genre_scores_gemma":[0.0007017428,0.0001508039,0.0003366435,0.0001775452,0.00005142548,0.00004047985,0.0004225499,0.0001367693,0.997982],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01046717,"threshold_uncertainty_score":0.01493007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104939533348434,"score_gpt":0.1591377657875033,"score_spread":0.1486438124526599,"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."}}