{"id":"W4406652996","doi":"10.1016/b978-0-7506-3993-4.50041-8","title":"10.1016/b978-0-7506-3993-4.50041-8","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":[0.001316457,0.002240465,0.001665961,0.002079653,0.00143934,0.005346465,0.003284252,0.004973434,0.9817542],"category_scores_gemma":[0.002727979,0.0009490146,0.0008753647,0.002353536,0.001316116,0.006389371,0.00346656,0.002469522,0.9910603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172346,"about_ca_system_score_gemma":0.0009747572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363435,"about_ca_topic_score_gemma":0.003015497,"domain_scores_codex":[0.9993359,0.00004944174,0.00004614397,0.0002486413,0.0002073179,0.0001126158],"domain_scores_gemma":[0.9975841,0.0008376132,0.0001969395,0.0004145695,0.0004165856,0.0005502327],"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":[0.0001374875,0.0001312383,0.0004374474,0.000397397,0.0000171189,0.0001052678,0.00008002228,0.0004881074,0.001788088,0.007965631,0.3648171,0.6236352],"study_design_scores_gemma":[0.0000212179,0.00004522947,0.000509815,0.0003113773,0.000009852356,0.0001837535,0.00009085531,0.0002341656,0.0003726673,0.002190228,0.9960138,0.00001713227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00022817,0.0004743991,0.001896479,0.0004337209,0.0001702169,0.00006388842,0.00128857,0.001753556,0.993691],"genre_scores_gemma":[0.0007601188,0.0002784394,0.0006826501,0.0001618575,0.00004146641,0.00005025783,0.0006993047,0.0003540429,0.9969717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01824576,"threshold_uncertainty_score":0.02602535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244256146924017,"score_gpt":0.1544829987617038,"score_spread":0.1320404372924636,"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."}}