{"id":"W4406576198","doi":"10.1016/s1558-0164(06)70074-8","title":"10.1016/s1558-0164(06)70074-8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":[0.001157792,0.002474216,0.001786265,0.002616184,0.002030237,0.004623919,0.003034814,0.006394998,0.9905657],"category_scores_gemma":[0.001978228,0.001014142,0.001234974,0.00281638,0.001789807,0.006002036,0.003145982,0.002683537,0.9940255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207748,"about_ca_system_score_gemma":0.001273276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003702293,"about_ca_topic_score_gemma":0.002953534,"domain_scores_codex":[0.9993123,0.00005970478,0.00006000904,0.0002479388,0.0001751477,0.0001449168],"domain_scores_gemma":[0.9980678,0.0004803868,0.0001640429,0.0002818146,0.0003788203,0.0006270877],"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":[0.0002791146,0.0001810077,0.0008833529,0.0004777928,0.0000311538,0.0002128375,0.00008950302,0.0004584519,0.001500867,0.007285293,0.4275737,0.5610269],"study_design_scores_gemma":[0.00004551051,0.00007412116,0.0005859511,0.00027017,0.00001159931,0.0002229836,0.000100053,0.0002424808,0.00029628,0.0008333955,0.9972971,0.00002036841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004139127,0.0003966331,0.0007500715,0.0005238233,0.0003170046,0.00008823356,0.001179022,0.001098192,0.9952331],"genre_scores_gemma":[0.000573231,0.000150199,0.0002697234,0.0001923351,0.00005458997,0.00004020144,0.0004344934,0.0001428653,0.9981424],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009434283,"threshold_uncertainty_score":0.01345688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292654167006485,"score_gpt":0.1486055501694669,"score_spread":0.1356790084994021,"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."}}