{"id":"W4406645425","doi":"10.1016/b978-84-8086-959-1.00711-2","title":"10.1016/b978-84-8086-959-1.00711-2","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; Business","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":[0.001059474,0.002102453,0.0013789,0.001862549,0.001154275,0.004884819,0.0026396,0.004253217,0.9757178],"category_scores_gemma":[0.002116715,0.0008148437,0.0007621471,0.002221817,0.001131452,0.005658803,0.002668808,0.002439267,0.9873782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027224,"about_ca_system_score_gemma":0.0008774557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358685,"about_ca_topic_score_gemma":0.002928998,"domain_scores_codex":[0.9994485,0.00004298352,0.0000408698,0.0001950328,0.0001760335,0.00009667604],"domain_scores_gemma":[0.9982156,0.0006511215,0.0001568725,0.0002598499,0.0003118628,0.00040481],"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":[0.0001148307,0.0001201276,0.000404753,0.0003769379,0.0000151573,0.0000967214,0.00007044776,0.0004456361,0.001678235,0.006756511,0.3593642,0.6305565],"study_design_scores_gemma":[0.000017725,0.00003932328,0.000549956,0.000288895,0.000009259356,0.0001938386,0.00007492312,0.0002164698,0.0003419896,0.001766162,0.9964874,0.00001407538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00024387,0.0006834687,0.001902812,0.0004496367,0.0002028814,0.00005637001,0.001260141,0.001422176,0.9937785],"genre_scores_gemma":[0.000849176,0.0004095344,0.0007124715,0.0001601245,0.00005188887,0.00004640801,0.0006658017,0.000286364,0.9968182],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02428222,"threshold_uncertainty_score":0.03463554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289319924931216,"score_gpt":0.1551906570970953,"score_spread":0.1322974578477832,"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."}}