{"id":"W4406654367","doi":"10.1016/b978-0-7020-5185-2.00011-6","title":"10.1016/b978-0-7020-5185-2.00011-6","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001219452,0.002197489,0.001624917,0.002016018,0.00119658,0.005440934,0.003158156,0.004661343,0.9790905],"category_scores_gemma":[0.002515892,0.0009487252,0.0008936189,0.002476455,0.001171228,0.006104611,0.003179052,0.00255268,0.9901681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079057,"about_ca_system_score_gemma":0.0009380383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072782,"about_ca_topic_score_gemma":0.002731692,"domain_scores_codex":[0.9993787,0.00004732016,0.00004575584,0.000218331,0.0002060212,0.0001039013],"domain_scores_gemma":[0.9976959,0.0008063267,0.0001945674,0.0004062372,0.000375188,0.0005217341],"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":[0.0001110631,0.0001190249,0.0003825935,0.0003733588,0.00001711259,0.00009327129,0.00006785087,0.0004597987,0.001542206,0.007541848,0.3716622,0.6176297],"study_design_scores_gemma":[0.00001797681,0.0000381894,0.0004958257,0.0002556172,0.000009549937,0.0001800869,0.00007267312,0.0002286065,0.0003485068,0.002063143,0.9962745,0.00001533368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002210992,0.0005738275,0.002281728,0.000505437,0.0001940551,0.00006024322,0.001369892,0.001810228,0.9929836],"genre_scores_gemma":[0.0007522125,0.0003277876,0.0007312095,0.0001626581,0.00004708701,0.00004732173,0.0007292711,0.00035708,0.9968454],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02090955,"threshold_uncertainty_score":0.02982485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244407901642569,"score_gpt":0.1550229866804125,"score_spread":0.1325789076639868,"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."}}