{"id":"W4406575504","doi":"10.1016/s1558-0164(06)70032-3","title":"10.1016/s1558-0164(06)70032-3","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":"Medicine; Actuarial science; Economics","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":[0.001131056,0.002439203,0.001733939,0.002877055,0.002022385,0.004395854,0.002896999,0.00622998,0.9902664],"category_scores_gemma":[0.002068213,0.0009598726,0.001285266,0.002875418,0.001796133,0.005793302,0.003123156,0.002708168,0.993556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289974,"about_ca_system_score_gemma":0.0013545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004058237,"about_ca_topic_score_gemma":0.003391982,"domain_scores_codex":[0.9992759,0.00006406291,0.00006144639,0.0002526115,0.0001906054,0.0001553856],"domain_scores_gemma":[0.9979132,0.0005413606,0.0001584106,0.0002861427,0.0004153271,0.000685544],"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":[0.0002689282,0.0002006501,0.000915705,0.0004944875,0.00003185953,0.000223732,0.00009400936,0.0004991678,0.001456793,0.007325165,0.4023746,0.586115],"study_design_scores_gemma":[0.00004249252,0.0000767269,0.0005979746,0.000280582,0.00001182096,0.0002314004,0.00009227111,0.0002409377,0.0002819799,0.0008361914,0.9972874,0.00002015958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003870625,0.0003960542,0.0007398656,0.0004979044,0.000275527,0.00009180796,0.0009560102,0.0009217815,0.995734],"genre_scores_gemma":[0.0005874304,0.0001574116,0.000297668,0.0002021878,0.00005537622,0.00004278417,0.0003896486,0.0001350807,0.9981325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009733617,"threshold_uncertainty_score":0.01388383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300244701821913,"score_gpt":0.1983519485366232,"score_spread":0.175349501518404,"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."}}