{"id":"W4406670525","doi":"10.1016/b978-0-08-057433-2.50006-5","title":"10.1016/b978-0-08-057433-2.50006-5","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":[0.001166202,0.001925672,0.001522274,0.001791593,0.001216768,0.005552083,0.002929136,0.0043609,0.9791583],"category_scores_gemma":[0.002432655,0.0008536156,0.0008319384,0.002391468,0.001216915,0.005216979,0.002947527,0.002412625,0.9902105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110008,"about_ca_system_score_gemma":0.0009268563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003038716,"about_ca_topic_score_gemma":0.002718336,"domain_scores_codex":[0.9994127,0.00005014494,0.00004028256,0.0001955577,0.0002017589,0.00009973121],"domain_scores_gemma":[0.997906,0.0007179874,0.0001673252,0.0003758511,0.00037952,0.0004532943],"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":[0.0001175039,0.0001070201,0.000385677,0.0003480718,0.00001683834,0.00009399181,0.00006750364,0.0004744972,0.001561073,0.009097262,0.3498683,0.6378623],"study_design_scores_gemma":[0.00001928212,0.00003770506,0.0004836748,0.0002396987,0.000008812586,0.0001773157,0.00006552023,0.0002237982,0.0003378878,0.002204944,0.9961873,0.00001407925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002062438,0.0004634853,0.001944,0.000441759,0.0001720079,0.00005327576,0.001262393,0.001652034,0.9938048],"genre_scores_gemma":[0.0008639775,0.0002831428,0.0007361167,0.0001485116,0.0000426293,0.00004364697,0.0007337876,0.000392452,0.9967557],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02084166,"threshold_uncertainty_score":0.02972811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198062115903675,"score_gpt":0.1560344216125417,"score_spread":0.134053800453505,"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."}}