{"id":"W4406734615","doi":"10.1016/b978-1-4377-0662-8.00004-8","title":"10.1016/b978-1-4377-0662-8.00004-8","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":[0.001041873,0.001862988,0.001333895,0.001705611,0.00101095,0.004844529,0.002525614,0.003918058,0.9771594],"category_scores_gemma":[0.002177378,0.00077737,0.000762976,0.002082906,0.0010531,0.0048882,0.002836143,0.002180962,0.9886923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346406,"about_ca_system_score_gemma":0.0008124939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002382769,"about_ca_topic_score_gemma":0.002224721,"domain_scores_codex":[0.9994874,0.00004098364,0.00003824706,0.0001691516,0.0001780233,0.00008622817],"domain_scores_gemma":[0.9980414,0.0006366886,0.0001600652,0.0003266857,0.0003597417,0.00047537],"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":[0.0001084304,0.0001065849,0.0003943744,0.0003235918,0.00001504344,0.00008818273,0.00005976908,0.0003805266,0.001478868,0.006720461,0.3843692,0.605955],"study_design_scores_gemma":[0.00001623551,0.00003120251,0.0004797458,0.0002279914,0.000007797518,0.0001622315,0.0000572538,0.0001760747,0.0002923732,0.001697615,0.9968392,0.00001226558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002205377,0.0005739923,0.001894557,0.0005135515,0.0001916597,0.00005377789,0.001254562,0.001510697,0.9937866],"genre_scores_gemma":[0.0007207673,0.0003145895,0.0006740289,0.0001526777,0.00004674163,0.00003698682,0.0006786811,0.0003127611,0.9970627],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02284056,"threshold_uncertainty_score":0.0325793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203738887298505,"score_gpt":0.1537283581199361,"score_spread":0.131690969246951,"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."}}