{"id":"W4406659437","doi":"10.1016/b978-0-340-67769-8.50025-2","title":"10.1016/b978-0-340-67769-8.50025-2","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":[0.00117164,0.002032747,0.001502878,0.001963516,0.001353119,0.005441847,0.00313862,0.004694452,0.9821044],"category_scores_gemma":[0.002590999,0.0009019442,0.000807741,0.002403009,0.00122933,0.005656456,0.003243464,0.002392051,0.9911184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132452,"about_ca_system_score_gemma":0.0009264422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255414,"about_ca_topic_score_gemma":0.002987683,"domain_scores_codex":[0.9994026,0.00004416091,0.00004046038,0.0002171492,0.0001950226,0.0001004661],"domain_scores_gemma":[0.9979194,0.0006909488,0.0001711666,0.0003503617,0.0003565951,0.0005114794],"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":[0.0001263573,0.0001257776,0.0004065373,0.000374889,0.00001538667,0.0001067625,0.00007061837,0.0004595834,0.001596819,0.007812419,0.3745455,0.6143594],"study_design_scores_gemma":[0.0000197294,0.00003972353,0.0004923672,0.0002801645,0.000008629335,0.000175098,0.0000841536,0.0002178723,0.0003350285,0.001994848,0.9963372,0.00001514285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002074455,0.0004355556,0.001644043,0.0004365636,0.000160493,0.00005804185,0.001324133,0.00153936,0.9941944],"genre_scores_gemma":[0.0007461658,0.0002683193,0.0006190986,0.0001531014,0.00003799645,0.00004730592,0.0006786227,0.000337897,0.9971114],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01789564,"threshold_uncertainty_score":0.02552599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266840991165481,"score_gpt":0.1547496672097651,"score_spread":0.1320812572981103,"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."}}