{"id":"W4406659539","doi":"10.1016/b978-0-340-67769-8.50020-3","title":"10.1016/b978-0-340-67769-8.50020-3","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":[0.001191193,0.002041174,0.00159612,0.001955405,0.001353353,0.005534608,0.003201706,0.004657676,0.982485],"category_scores_gemma":[0.002566468,0.0009088061,0.0008345167,0.002460746,0.00126521,0.005551241,0.003279058,0.002458835,0.9916006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171707,"about_ca_system_score_gemma":0.0009398015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241643,"about_ca_topic_score_gemma":0.003007422,"domain_scores_codex":[0.9993906,0.00004367762,0.00004104151,0.0002180017,0.0002046605,0.0001019879],"domain_scores_gemma":[0.9978359,0.0007183951,0.0001745252,0.0003647269,0.0003859849,0.0005204161],"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":[0.0001280146,0.0001245548,0.0004013235,0.0003754575,0.00001640458,0.0001044501,0.00006866929,0.0004720619,0.001643794,0.0074905,0.3735085,0.6156663],"study_design_scores_gemma":[0.00002109995,0.00004194278,0.0004967283,0.0002842982,0.000008980257,0.0001768979,0.00008334257,0.0002329176,0.0003524361,0.001999529,0.9962862,0.00001565378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000206455,0.0004408176,0.001662398,0.0004256747,0.0001648274,0.00005749963,0.001308816,0.001558732,0.9941748],"genre_scores_gemma":[0.0007294923,0.0002664615,0.0005805418,0.000146138,0.00003834918,0.00004542262,0.0006647724,0.0003305352,0.9971982],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.017515,"threshold_uncertainty_score":0.02498305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268757263423121,"score_gpt":0.1542387189660727,"score_spread":0.1315511463318415,"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."}}