{"id":"W4406466082","doi":"10.1016/s1553-3212(08)70345-5","title":"10.1016/s1553-3212(08)70345-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicaid; Business; Economics; Economic growth; Health care","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":[0.00118948,0.002538515,0.001857158,0.002998296,0.001983875,0.004591333,0.00315592,0.006985179,0.9902998],"category_scores_gemma":[0.002137294,0.000991812,0.001275795,0.003063185,0.001892014,0.006322336,0.003310337,0.002857486,0.9939382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461051,"about_ca_system_score_gemma":0.001484465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004757814,"about_ca_topic_score_gemma":0.003570787,"domain_scores_codex":[0.999316,0.00005944433,0.00006254262,0.0002426537,0.0001792366,0.0001401564],"domain_scores_gemma":[0.9979116,0.0006006832,0.0001714846,0.0002913482,0.0003841387,0.0006406071],"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":[0.0002672483,0.0002218415,0.0009809282,0.0005239643,0.00003299372,0.0002161454,0.0000944099,0.0005600996,0.001353611,0.007139206,0.4251803,0.5634292],"study_design_scores_gemma":[0.00005120936,0.00008683295,0.0007264328,0.0003678799,0.00001364524,0.000235555,0.0001115523,0.0002945162,0.0002969615,0.000919129,0.9968712,0.00002499573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004083186,0.0004213158,0.0006878729,0.0005252318,0.0002496465,0.00009987123,0.001132331,0.001005426,0.99547],"genre_scores_gemma":[0.0006797992,0.000187594,0.0003305218,0.0002621967,0.00005260749,0.00005956243,0.000472762,0.0001598909,0.9977952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009700179,"threshold_uncertainty_score":0.01383603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318289102838774,"score_gpt":0.1982744767707564,"score_spread":0.1750915857423686,"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."}}