{"id":"W4406567062","doi":"10.1016/b978-0-323-64295-8.00054-0","title":"10.1016/b978-0-323-64295-8.00054-0","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":[0.001153197,0.001972541,0.001483815,0.001931825,0.001270218,0.005431117,0.002967199,0.004424012,0.981898],"category_scores_gemma":[0.002469734,0.0008731534,0.0008584784,0.002424482,0.001234352,0.005414465,0.003352575,0.002236569,0.9913028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104075,"about_ca_system_score_gemma":0.0009310822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003284705,"about_ca_topic_score_gemma":0.002875417,"domain_scores_codex":[0.9994401,0.0000434764,0.0000386191,0.0001939252,0.0001890514,0.00009481404],"domain_scores_gemma":[0.9978483,0.0007050862,0.0001703642,0.0003753818,0.0003562074,0.0005447188],"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":[0.0001106395,0.0001160544,0.0003708803,0.0003424047,0.00001590439,0.00009182988,0.00006757061,0.0004232949,0.001432194,0.007546049,0.3926362,0.5968469],"study_design_scores_gemma":[0.00001863681,0.00003765662,0.0005025443,0.000265543,0.0000082516,0.0001530419,0.00007282293,0.0002064835,0.0002973765,0.001889086,0.9965342,0.00001431897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001950904,0.0003903449,0.001635917,0.0003872928,0.0001488654,0.00005832462,0.001142788,0.00151665,0.9945246],"genre_scores_gemma":[0.0006671649,0.0002403948,0.0005609547,0.0001337079,0.00003599268,0.00004186883,0.0006047438,0.0003229215,0.9973923],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01810199,"threshold_uncertainty_score":0.02582031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203644127177686,"score_gpt":0.1548730219801374,"score_spread":0.1328365807083605,"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."}}