{"id":"W4406667316","doi":"10.1016/b978-0-323-04068-6.50001-4","title":"10.1016/b978-0-323-04068-6.50001-4","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":[0.001135472,0.001977307,0.00152755,0.001888809,0.001244075,0.005262759,0.003066262,0.004473803,0.9801705],"category_scores_gemma":[0.002310717,0.0008927525,0.0008292482,0.002477515,0.001242532,0.005143875,0.003045159,0.002362499,0.9904038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164359,"about_ca_system_score_gemma":0.0009051485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256165,"about_ca_topic_score_gemma":0.002893842,"domain_scores_codex":[0.9994189,0.00004724207,0.00003962906,0.0002000684,0.0001998413,0.000094388],"domain_scores_gemma":[0.998111,0.0006449092,0.0001520199,0.0003521686,0.0003272289,0.0004126368],"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":[0.000121921,0.0001056574,0.0003500466,0.0003881446,0.00001690884,0.00008935085,0.0000622588,0.0004483784,0.001589306,0.00847909,0.3737297,0.6146192],"study_design_scores_gemma":[0.00001981797,0.00003558309,0.0004426158,0.000237251,0.000008316916,0.0001520222,0.00005980504,0.0002112174,0.0003609281,0.001991917,0.9964671,0.00001352833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001998039,0.00050805,0.001807058,0.0004196014,0.0001664348,0.00005469221,0.001547349,0.001708685,0.9935883],"genre_scores_gemma":[0.0007905208,0.0002803529,0.0006776353,0.0001277935,0.00003916369,0.00004504864,0.0007881256,0.0003640788,0.9968873],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01982951,"threshold_uncertainty_score":0.02828431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225011901723731,"score_gpt":0.1546578582528112,"score_spread":0.1324077392355739,"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."}}