{"id":"W4406671633","doi":"10.1016/b978-0-08-051820-6.50027-8","title":"10.1016/b978-0-08-051820-6.50027-8","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":[0.001210305,0.001890482,0.001455927,0.001731817,0.001181676,0.005757574,0.002814372,0.00419424,0.9782434],"category_scores_gemma":[0.002596811,0.0008225259,0.0008176527,0.002241153,0.001177638,0.005525537,0.003179018,0.002382253,0.990004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092321,"about_ca_system_score_gemma":0.0009926141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858921,"about_ca_topic_score_gemma":0.002676042,"domain_scores_codex":[0.99944,0.00004602957,0.00003847111,0.0001841415,0.0001989786,0.00009239755],"domain_scores_gemma":[0.997777,0.0007510958,0.0001886149,0.0004037966,0.0003933104,0.0004860632],"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":[0.0001083553,0.0001011015,0.0003996262,0.0003361335,0.00001538756,0.00009069603,0.00007161152,0.0004241763,0.001552563,0.009157914,0.3572633,0.6304792],"study_design_scores_gemma":[0.00001796503,0.00003597958,0.0004907227,0.0002475794,0.00000810023,0.0001646567,0.0000714518,0.000195388,0.0003123388,0.002296536,0.9961455,0.00001377673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002138705,0.0004556231,0.001832227,0.0005006337,0.000175616,0.00005096888,0.001287407,0.001629108,0.9938546],"genre_scores_gemma":[0.0008176098,0.0002735531,0.0006614787,0.0001568814,0.00004412628,0.00004269591,0.0006866519,0.0003917532,0.9969252],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02175665,"threshold_uncertainty_score":0.03103316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266438322856774,"score_gpt":0.1558921734597928,"score_spread":0.133227790231225,"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."}}