{"id":"W4406673775","doi":"10.1016/b978-0-08-047375-8.50003-0","title":"10.1016/b978-0-08-047375-8.50003-0","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":[0.001170485,0.001863947,0.001453906,0.001778543,0.001199656,0.005389445,0.002806833,0.004348214,0.9795632],"category_scores_gemma":[0.002402516,0.0008191039,0.0007990649,0.002356971,0.001204318,0.005200004,0.002956757,0.00224473,0.9898726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106916,"about_ca_system_score_gemma":0.000964452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003276614,"about_ca_topic_score_gemma":0.002841279,"domain_scores_codex":[0.999449,0.00004697111,0.00003761913,0.0001867887,0.0001848217,0.0000948411],"domain_scores_gemma":[0.9979389,0.0006816295,0.0001591805,0.0003637985,0.0003649751,0.000491511],"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":[0.0001133236,0.0001093821,0.0003772683,0.000330338,0.00001506295,0.0000871828,0.00006759277,0.0004100942,0.00142607,0.008518478,0.3616016,0.6269436],"study_design_scores_gemma":[0.0000174647,0.00003392417,0.0004687037,0.000221487,0.000007753713,0.0001576105,0.00006555438,0.0001905204,0.0002781807,0.001984021,0.9965623,0.00001249144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002008529,0.0004434458,0.001765973,0.0004451589,0.0001670211,0.00005238907,0.001146151,0.001472318,0.9943066],"genre_scores_gemma":[0.0007667878,0.0002738711,0.0006643252,0.0001445584,0.0000402347,0.00004098536,0.0006475304,0.0003523648,0.9970693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02043682,"threshold_uncertainty_score":0.02915066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222903363367271,"score_gpt":0.1557332951847785,"score_spread":0.1334429588480515,"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."}}