{"id":"W4406645001","doi":"10.1016/b978-84-9022-657-5.00108-8","title":"10.1016/b978-84-9022-657-5.00108-8","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":[0.00125304,0.002221227,0.001709008,0.002034596,0.001386269,0.005802914,0.003118182,0.004781156,0.9808991],"category_scores_gemma":[0.00240847,0.001012035,0.0009024755,0.002554799,0.001421947,0.006475719,0.003401313,0.00262526,0.9907232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215396,"about_ca_system_score_gemma":0.0009981247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337219,"about_ca_topic_score_gemma":0.003103702,"domain_scores_codex":[0.9993948,0.00004369197,0.00004655752,0.0002253034,0.0001911644,0.00009843508],"domain_scores_gemma":[0.9976949,0.0007887065,0.0001893552,0.0003742961,0.0004001142,0.0005526847],"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":[0.000127685,0.000113256,0.000402353,0.0004100786,0.00001853441,0.00009789298,0.00007377562,0.0004400328,0.001706627,0.00733747,0.3975963,0.591676],"study_design_scores_gemma":[0.00002241555,0.00004256154,0.0005224448,0.0003115733,0.00001007143,0.0001833548,0.00008096937,0.0002185035,0.0003642213,0.001861565,0.996366,0.00001612969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000211171,0.0005500543,0.001620627,0.0004365563,0.0001810941,0.00005898365,0.001287292,0.001572612,0.9940816],"genre_scores_gemma":[0.0007420815,0.0003200571,0.0005741442,0.0001555661,0.00004807929,0.0000451372,0.0006779711,0.0003449246,0.9970921],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0191009,"threshold_uncertainty_score":0.02724504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255530562112272,"score_gpt":0.1539343322122144,"score_spread":0.1313790265910917,"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."}}