{"id":"W4406637884","doi":"10.1016/b978-0-7506-4581-2.50158-4","title":"10.1016/b978-0-7506-4581-2.50158-4","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":[0.001211001,0.002102918,0.001523974,0.001983878,0.001305134,0.005464478,0.003124192,0.004734818,0.9794496],"category_scores_gemma":[0.002451842,0.0008922673,0.0008427326,0.002317449,0.001187275,0.006137402,0.003238005,0.002406148,0.9901856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110471,"about_ca_system_score_gemma":0.0009418117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098576,"about_ca_topic_score_gemma":0.002764739,"domain_scores_codex":[0.9993611,0.00004695798,0.00004531699,0.0002257412,0.0002128707,0.0001079976],"domain_scores_gemma":[0.9977773,0.0007606358,0.000183418,0.0003747941,0.0004019117,0.0005020022],"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":[0.0001184647,0.0001182773,0.0003955151,0.0003808121,0.00001575511,0.0001022908,0.0000709037,0.0004755936,0.00179566,0.007715043,0.3618257,0.6269858],"study_design_scores_gemma":[0.00001735574,0.00003919657,0.0004755859,0.0002674852,0.000008798364,0.0001790779,0.00007783632,0.0002146076,0.0003618246,0.001954213,0.9963892,0.00001496395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002228708,0.0005191572,0.001989779,0.0004487805,0.0001874675,0.00005959235,0.0012709,0.001697769,0.9936035],"genre_scores_gemma":[0.000754367,0.0003038006,0.0006706923,0.0001489612,0.0000433475,0.00004579404,0.0006969619,0.0003323583,0.9970037],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02055037,"threshold_uncertainty_score":0.02931255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280922254443674,"score_gpt":0.1557731015457148,"score_spread":0.132963879001278,"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."}}