{"id":"W4406659478","doi":"10.1016/b978-0-340-67769-8.50024-0","title":"10.1016/b978-0-340-67769-8.50024-0","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":[0.001174525,0.002022991,0.001502967,0.001954689,0.001344459,0.005566326,0.003039335,0.004711112,0.9816838],"category_scores_gemma":[0.002631106,0.0008990883,0.0008037749,0.002522798,0.001234597,0.005744219,0.003312369,0.00236555,0.9911243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119628,"about_ca_system_score_gemma":0.0009703559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003387291,"about_ca_topic_score_gemma":0.003078308,"domain_scores_codex":[0.999429,0.00004238431,0.00003950988,0.0002036915,0.0001897198,0.00009567754],"domain_scores_gemma":[0.9977269,0.0007404434,0.0001802696,0.0003825204,0.0003855781,0.0005842277],"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":[0.0001093746,0.0001193497,0.0003672251,0.0003441938,0.00001424732,0.00009084493,0.0000691059,0.0004026822,0.001407146,0.007406805,0.3952124,0.5944567],"study_design_scores_gemma":[0.00001813015,0.00003679489,0.0004745429,0.0002661656,0.000008027838,0.0001519796,0.00008006396,0.0001942081,0.0002942776,0.001922135,0.9965396,0.00001413353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001882149,0.0004070828,0.001480538,0.0004212756,0.0001529282,0.000053809,0.001127539,0.001405031,0.9947636],"genre_scores_gemma":[0.0006461403,0.0002619367,0.0005401446,0.0001493709,0.00003700767,0.00004198764,0.0005997941,0.0003177597,0.9974059],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01831621,"threshold_uncertainty_score":0.02612585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266656886310367,"score_gpt":0.1545162208861207,"score_spread":0.131849652023017,"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."}}