{"id":"W4406473110","doi":"10.1016/s1558-0164(12)70101-3","title":"10.1016/s1558-0164(12)70101-3","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicaid; Medicine; Chip; Computer science; Telecommunications; Economics; Health care; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008829822,0.0002674147,0.0002936135,0.00009667766,0.000278989,0.00003136488,0.0004791472,0.0002746871,0.9995074],"category_scores_gemma":[0.0002366988,0.0002533711,0.0001115809,0.000232216,0.0001700907,0.0002835467,0.0000804244,0.00103776,0.9984587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005080934,"about_ca_system_score_gemma":0.00008790065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001610603,"about_ca_topic_score_gemma":3.672867e-7,"domain_scores_codex":[0.9978697,0.0004573097,0.0003616875,0.0003967921,0.0002565775,0.0006578761],"domain_scores_gemma":[0.9981986,0.0006120036,0.00008137048,0.0002660053,0.00004960415,0.0007924588],"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":[0.0007519397,0.0002787866,1.79085e-7,0.00001358504,0.00009431655,0.00005446795,0.00004975716,0.00008539655,0.0007837776,0.000002790003,0.6790769,0.3188081],"study_design_scores_gemma":[0.001267624,0.0001972065,0.00001978052,0.00001140074,0.0001716534,0.00004550203,0.000002529329,0.0007179195,0.002407027,0.00003141049,0.994808,0.0003199224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001806431,0.0003310177,0.000001410406,0.003689399,0.00003204009,0.0003715765,0.00005203455,0.0002629278,0.9934531],"genre_scores_gemma":[0.001863728,0.00001394692,0.00006677012,0.003875806,0.0006691838,0.00006150125,0.00003316311,0.00003542214,0.9933805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3184882,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0770452778915858,"score_gpt":0.3819254091725821,"score_spread":0.3048801312809962,"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."}}