{"id":"W4406659931","doi":"10.1016/b978-0-408-04095-2.50006-3","title":"10.1016/b978-0-408-04095-2.50006-3","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":[0.001170643,0.002160653,0.001607139,0.001881346,0.001225844,0.005066294,0.003081643,0.004573302,0.9805275],"category_scores_gemma":[0.002271596,0.0009088282,0.0008758407,0.002390906,0.001256723,0.005297149,0.002934857,0.002539358,0.9902103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125784,"about_ca_system_score_gemma":0.0008970783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00344161,"about_ca_topic_score_gemma":0.002877973,"domain_scores_codex":[0.9993948,0.00004941543,0.00004119214,0.0002188876,0.0001951407,0.0001005007],"domain_scores_gemma":[0.998013,0.0007165218,0.0001601874,0.0003389622,0.0003325298,0.0004388609],"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":[0.0001382833,0.0001179887,0.0003909985,0.0003988483,0.00001799957,0.00009286603,0.000062593,0.0005009075,0.001779426,0.007818527,0.3373305,0.6513511],"study_design_scores_gemma":[0.00002160843,0.00004104609,0.0004719766,0.000261866,0.000009374087,0.0001692508,0.00006307154,0.0002389972,0.0003811323,0.001969491,0.996357,0.0000150319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002254017,0.0005828441,0.002097388,0.000437205,0.0001891632,0.0000608835,0.001628694,0.001832934,0.9929455],"genre_scores_gemma":[0.0008514327,0.000330584,0.0008001815,0.0001457816,0.0000463294,0.00004946854,0.0008277441,0.0003961688,0.9965523],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01947248,"threshold_uncertainty_score":0.02777505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183059506415625,"score_gpt":0.1550626193201376,"score_spread":0.1332320242559814,"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."}}