{"id":"W4406669477","doi":"10.1016/b978-0-12-046505-7.50003-1","title":"10.1016/b978-0-12-046505-7.50003-1","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":[0.001126396,0.001814558,0.001456487,0.001778994,0.001217278,0.005417987,0.002789242,0.004229398,0.9782868],"category_scores_gemma":[0.002528285,0.0007865761,0.0007685284,0.002300044,0.001114774,0.005412688,0.002891953,0.002309114,0.9894652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125265,"about_ca_system_score_gemma":0.00093361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002911923,"about_ca_topic_score_gemma":0.002770576,"domain_scores_codex":[0.9994305,0.00004757053,0.00003857228,0.0001901276,0.000199328,0.00009383731],"domain_scores_gemma":[0.9980541,0.0006453441,0.0001526339,0.0003526399,0.0003560745,0.0004390914],"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":[0.0001019197,0.00009753094,0.0003447655,0.0003144545,0.00001341115,0.00008002479,0.00006192389,0.0003909401,0.0013402,0.009078183,0.3768031,0.6113736],"study_design_scores_gemma":[0.00001541495,0.00002918405,0.0004305478,0.0002212519,0.000007199729,0.0001486915,0.00005801413,0.0001797735,0.0002747369,0.002154499,0.9964689,0.00001188427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001988898,0.0004857146,0.001898713,0.0004988674,0.0001810996,0.00004996489,0.001315552,0.001581,0.9937901],"genre_scores_gemma":[0.0007893429,0.0003036005,0.0007457329,0.0001526456,0.00004476446,0.00004196863,0.0007547354,0.000390697,0.9967764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0217132,"threshold_uncertainty_score":0.03097123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398006374723952,"score_gpt":0.1543203081218576,"score_spread":0.1303402443746181,"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."}}