{"id":"W4406673015","doi":"10.1016/b978-0-08-051429-1.50005-1","title":"10.1016/b978-0-08-051429-1.50005-1","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":[0.001095992,0.001785337,0.001414473,0.001762719,0.001202615,0.005280555,0.002734473,0.004088726,0.9776242],"category_scores_gemma":[0.00261289,0.0007638675,0.000740627,0.002319206,0.001117869,0.005065994,0.002771017,0.002227515,0.9892617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104572,"about_ca_system_score_gemma":0.0009650288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003222549,"about_ca_topic_score_gemma":0.002829938,"domain_scores_codex":[0.9994343,0.00005051446,0.00003729725,0.000185777,0.0001974986,0.00009462],"domain_scores_gemma":[0.998058,0.000657615,0.0001566519,0.0003387282,0.0003526132,0.0004362203],"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":[0.0001006739,0.00009963143,0.0003621085,0.0003082418,0.00001350723,0.00008192308,0.00006872815,0.000420214,0.001272946,0.009116788,0.3706929,0.6174623],"study_design_scores_gemma":[0.00001574782,0.00003166708,0.0004680281,0.0002215705,0.000007463967,0.0001511601,0.00006272097,0.0001973585,0.0002586299,0.002207843,0.9963659,0.00001195824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002027597,0.000451218,0.001860512,0.0004785245,0.0001682973,0.00005163215,0.001249507,0.001503521,0.9940341],"genre_scores_gemma":[0.0008334651,0.0002899249,0.000729781,0.000148939,0.00004175952,0.00004313658,0.0007213703,0.0003719353,0.9968197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02237582,"threshold_uncertainty_score":0.03191632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211589374708936,"score_gpt":0.1560832685977657,"score_spread":0.1339673748506764,"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."}}