{"id":"W4406671601","doi":"10.1016/b978-0-08-051623-3.50021-x","title":"10.1016/b978-0-08-051623-3.50021-x","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":[0.001218452,0.001904955,0.001423026,0.001748348,0.001207606,0.005767904,0.002719438,0.00439853,0.9767858],"category_scores_gemma":[0.002873942,0.0008358211,0.0007473938,0.002383506,0.001164319,0.006051656,0.003158444,0.002431829,0.9887123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108686,"about_ca_system_score_gemma":0.001000342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002905101,"about_ca_topic_score_gemma":0.002828695,"domain_scores_codex":[0.9994329,0.00004981915,0.00004125594,0.0001874369,0.0001959909,0.00009259086],"domain_scores_gemma":[0.9976815,0.000788943,0.0002043064,0.00042109,0.0003773231,0.0005267561],"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":[0.00009732886,0.0001019616,0.0004151591,0.0003203549,0.00001432914,0.0000892984,0.00007639962,0.0004140863,0.001369064,0.009943657,0.3873214,0.5998369],"study_design_scores_gemma":[0.00001649171,0.00003245508,0.0005040501,0.0002264379,0.000007598637,0.0001559016,0.00007033574,0.0001865059,0.0002759116,0.002560719,0.9959501,0.00001357461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002136529,0.0004550683,0.001911797,0.0005349695,0.0001723779,0.00004985943,0.001274213,0.001678996,0.9937091],"genre_scores_gemma":[0.0008250686,0.0002882347,0.000704123,0.0001798422,0.00004587143,0.00004521857,0.000703533,0.0004190672,0.9967892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02321422,"threshold_uncertainty_score":0.03311217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266079159390753,"score_gpt":0.1557604858262752,"score_spread":0.1330996942323677,"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."}}