{"id":"W4406652468","doi":"10.1016/b978-0-7020-7455-4.00226-0","title":"10.1016/b978-0-7020-7455-4.00226-0","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":[0.001160517,0.002011184,0.001470358,0.00194214,0.001178899,0.005502467,0.002810339,0.004513299,0.978227],"category_scores_gemma":[0.002418258,0.0008756933,0.0008430098,0.002402534,0.001188357,0.006086383,0.003187031,0.002432118,0.9895135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110064,"about_ca_system_score_gemma":0.001000367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003277053,"about_ca_topic_score_gemma":0.002868207,"domain_scores_codex":[0.9994399,0.00004171588,0.00003982699,0.0001951772,0.0001911232,0.00009229195],"domain_scores_gemma":[0.9977205,0.0007419687,0.0001780905,0.0004003014,0.0003955752,0.0005635096],"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":[0.00009578146,0.0001100833,0.0003690506,0.0003226858,0.00001472537,0.00008336062,0.0000667518,0.0003884802,0.001455396,0.007422288,0.3891282,0.6005433],"study_design_scores_gemma":[0.00001618176,0.00003364963,0.0004752999,0.0002364683,0.000008084225,0.000158096,0.00006705002,0.0001872047,0.000299736,0.001820702,0.9966845,0.00001310311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001938412,0.0004738652,0.00184293,0.0004515024,0.0001683243,0.00005223852,0.001075776,0.001479328,0.9942623],"genre_scores_gemma":[0.0006661331,0.0002995848,0.0005960824,0.0001494995,0.00004426645,0.0000382478,0.0005963013,0.0003068284,0.9973031],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02177304,"threshold_uncertainty_score":0.03105658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246801000784332,"score_gpt":0.1546346716441399,"score_spread":0.1321666616362965,"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."}}