{"id":"W4406673183","doi":"10.1016/b978-0-08-049414-2.50006-3","title":"10.1016/b978-0-08-049414-2.50006-3","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":[0.00117493,0.001926667,0.001528811,0.001784711,0.001257619,0.005690316,0.00301367,0.004457077,0.9803959],"category_scores_gemma":[0.002450021,0.0008570069,0.0008665109,0.002355882,0.001266254,0.005173299,0.002966334,0.002479744,0.9904453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185841,"about_ca_system_score_gemma":0.0009593021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003353783,"about_ca_topic_score_gemma":0.002956147,"domain_scores_codex":[0.999385,0.0000520545,0.00004130089,0.0002070649,0.0002131769,0.0001014065],"domain_scores_gemma":[0.997974,0.0006942204,0.0001582296,0.0003629655,0.0003792112,0.0004313056],"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":[0.0001260301,0.0001070377,0.0003958714,0.0003663688,0.00001733922,0.00009416301,0.00006868658,0.0004867885,0.001606538,0.009288337,0.346287,0.6411558],"study_design_scores_gemma":[0.00001950254,0.0000353568,0.0004627052,0.0002321704,0.000008502245,0.0001678508,0.00006386811,0.0002066879,0.0003208057,0.002056515,0.9964122,0.00001380931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001983616,0.0004579216,0.001777948,0.0004377199,0.0001721889,0.00005249576,0.001325865,0.00157492,0.9940025],"genre_scores_gemma":[0.000838388,0.0002799834,0.0007141646,0.0001462147,0.00004105386,0.00004421535,0.0007505267,0.0003910283,0.9967944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01960415,"threshold_uncertainty_score":0.02796292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220400712723729,"score_gpt":0.1558365701572023,"score_spread":0.1337964988848294,"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."}}