{"id":"W4406647057","doi":"10.1016/b978-81-312-5487-5.00048-3","title":"10.1016/b978-81-312-5487-5.00048-3","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":"Materials 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":[0.001099847,0.002145383,0.001557966,0.001966776,0.001254247,0.005495469,0.002892894,0.00444343,0.9813251],"category_scores_gemma":[0.002219356,0.0009095832,0.0008657603,0.002423112,0.001304066,0.005605753,0.003184011,0.002448555,0.9911783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073932,"about_ca_system_score_gemma":0.0009026091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0027981,"about_ca_topic_score_gemma":0.002592381,"domain_scores_codex":[0.9994091,0.00004428722,0.00004130322,0.0002141754,0.0001895232,0.0001015598],"domain_scores_gemma":[0.9979538,0.0006796589,0.0001628503,0.0003322368,0.0003597834,0.0005116429],"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":[0.0001169021,0.0001215965,0.0004032142,0.0004032177,0.00001683913,0.0001053961,0.00007374966,0.000455654,0.001629338,0.006650687,0.4010576,0.5889658],"study_design_scores_gemma":[0.00001792741,0.00003946274,0.0005026342,0.0002864301,0.000008678118,0.0001777405,0.00007409722,0.0001994919,0.0003051249,0.001678547,0.9966956,0.00001420217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000205575,0.0005050589,0.001578627,0.0004069688,0.0001850524,0.00005804492,0.001221086,0.001397328,0.9944423],"genre_scores_gemma":[0.0006928225,0.0002926997,0.0005133665,0.0001366168,0.00004326508,0.00004153856,0.000667948,0.0002844854,0.9973273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01867485,"threshold_uncertainty_score":0.02663732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265700778068755,"score_gpt":0.1535050658717768,"score_spread":0.1308480580910893,"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."}}