{"id":"W4406669376","doi":"10.1016/b978-0-12-374333-6.00006-4","title":"10.1016/b978-0-12-374333-6.00006-4","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":[0.001106747,0.001908115,0.001390774,0.001802633,0.001182185,0.005151286,0.002698349,0.004018587,0.9808782],"category_scores_gemma":[0.002268975,0.000789261,0.000809467,0.002135806,0.001218282,0.004898404,0.003087059,0.002218845,0.9902996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010838,"about_ca_system_score_gemma":0.0009067407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002838464,"about_ca_topic_score_gemma":0.002691956,"domain_scores_codex":[0.9994501,0.00004272489,0.00003751842,0.0001795214,0.0001945333,0.00009556903],"domain_scores_gemma":[0.9981487,0.0005610919,0.0001494964,0.0003376799,0.0003447509,0.0004583769],"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":[0.0001151813,0.0001044245,0.0003957922,0.0003520091,0.00001606458,0.00008828068,0.00006294141,0.0004042363,0.001543093,0.008417181,0.3712923,0.6172085],"study_design_scores_gemma":[0.00001751934,0.00003140492,0.000478313,0.0002346692,0.000007400144,0.0001617272,0.00005713528,0.000159675,0.0002996391,0.001816914,0.9967224,0.00001307901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002029889,0.0004566819,0.001617804,0.0004621839,0.0001656298,0.00005308625,0.001240833,0.00148359,0.9943172],"genre_scores_gemma":[0.0008177809,0.0002756153,0.0007151007,0.0001519441,0.000041359,0.00004217148,0.0007126529,0.0003766541,0.9968666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01912177,"threshold_uncertainty_score":0.02727479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345821210136067,"score_gpt":0.1546959200327491,"score_spread":0.1312377079313884,"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."}}