{"id":"W4406653599","doi":"10.1016/b978-0-7506-2898-3.50014-1","title":"10.1016/b978-0-7506-2898-3.50014-1","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; Telecommunications","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":[0.001238144,0.002074418,0.001559001,0.002050298,0.001370988,0.00541524,0.003193342,0.004770871,0.9797541],"category_scores_gemma":[0.002978684,0.000863698,0.0007816975,0.002465094,0.001187542,0.00619582,0.003118956,0.002343418,0.9900721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118179,"about_ca_system_score_gemma":0.0009936729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478649,"about_ca_topic_score_gemma":0.003072975,"domain_scores_codex":[0.9993377,0.00005112886,0.00004521324,0.0002399908,0.0002202363,0.0001056238],"domain_scores_gemma":[0.9977344,0.0007698721,0.000185631,0.0003710477,0.0004141646,0.0005247889],"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":[0.0001123843,0.0001178288,0.0004059715,0.0003603893,0.00001405329,0.0000929169,0.000075982,0.0004631943,0.001461567,0.007745934,0.3748242,0.6143255],"study_design_scores_gemma":[0.00001672943,0.00003785362,0.0004933891,0.0002866002,0.000008673042,0.0001636975,0.00008763172,0.0002298584,0.0003172605,0.00225143,0.9960917,0.00001515449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002227544,0.0004919257,0.002016386,0.0004638086,0.0001725071,0.00006267797,0.001316925,0.001728929,0.993524],"genre_scores_gemma":[0.0008256285,0.0003198206,0.0007596322,0.0001632104,0.000042867,0.0000520027,0.0007548046,0.0003780837,0.9967039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02024585,"threshold_uncertainty_score":0.02887827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237233297708392,"score_gpt":0.1544739936288387,"score_spread":0.1321016606517548,"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."}}