{"id":"W4406647935","doi":"10.1016/b978-3-437-25004-0.12001-3","title":"10.1016/b978-3-437-25004-0.12001-3","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":[0.001058763,0.00211507,0.001509152,0.001884565,0.001386801,0.005412342,0.002966685,0.004418022,0.9810067],"category_scores_gemma":[0.002374107,0.0008971683,0.0008317244,0.002501532,0.00126949,0.005446596,0.003107136,0.002428267,0.990742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200069,"about_ca_system_score_gemma":0.0009737748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003699841,"about_ca_topic_score_gemma":0.003378203,"domain_scores_codex":[0.9994468,0.00004110469,0.00003848149,0.0001955176,0.0001862283,0.00009182482],"domain_scores_gemma":[0.9981591,0.0006008679,0.0001363506,0.0003067341,0.0003420614,0.000454823],"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":[0.000120063,0.0001134768,0.000366774,0.0003855266,0.00001703625,0.00008919399,0.00006721931,0.0004370835,0.001662549,0.008004693,0.386103,0.6026334],"study_design_scores_gemma":[0.00001752339,0.00003413633,0.0004081528,0.0002431759,0.000007946624,0.0001397587,0.00006349505,0.0001838224,0.0003253677,0.001748858,0.9968144,0.00001345898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001840265,0.0004235492,0.001553382,0.0003479352,0.0001572213,0.00005278038,0.001136962,0.001460969,0.9946832],"genre_scores_gemma":[0.0006930666,0.0002750245,0.0006327962,0.0001352795,0.00003914548,0.00004237813,0.0006712866,0.0003706214,0.9971404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01899332,"threshold_uncertainty_score":0.02709168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241242413719311,"score_gpt":0.1545247721983899,"score_spread":0.1321123480611968,"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."}}