{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001191884,0.002749494,0.001707845,0.003127639,0.00273398,0.004384965,0.003357583,0.005951628,0.989913],"category_scores_gemma":[0.001935827,0.001008206,0.001657896,0.002629306,0.001937233,0.005168574,0.003922952,0.002817024,0.993688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126731,"about_ca_system_score_gemma":0.001312541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968131,"about_ca_topic_score_gemma":0.003582123,"domain_scores_codex":[0.9992766,0.00004549394,0.00005397791,0.0002665428,0.0002162589,0.0001411687],"domain_scores_gemma":[0.9975023,0.0006133789,0.0001715356,0.0002883633,0.0005474149,0.0008769103],"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":[0.0003074631,0.0002277794,0.000720333,0.0004773549,0.00003360669,0.000245373,0.0001067144,0.0004021637,0.001912911,0.005550067,0.3736033,0.6164129],"study_design_scores_gemma":[0.0000384619,0.00008513271,0.0004764415,0.0002206953,0.00001015658,0.000260783,0.00007923988,0.0001484847,0.0002700338,0.0005228641,0.9978704,0.00001723171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002617815,0.0003200185,0.000635303,0.0003379395,0.0002702603,0.000075839,0.0004952104,0.0008364765,0.9967673],"genre_scores_gemma":[0.0003647425,0.0001366777,0.0002680075,0.0001521051,0.00006663523,0.00003407022,0.0002607807,0.0001182297,0.9985988],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01008701,"threshold_uncertainty_score":0.01438779,"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."}}