{"id":"W2396986692","doi":"10.1016/s0197-2510(09)70170-6","title":"10.1016/s0197-2510(09)70170-6","year":2000,"lang":"en","type":"letter","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004003345,0.0004629176,0.001010779,0.0005496368,0.0002036363,0.0002590016,0.0008039024,0.0005047352,0.9991955],"category_scores_gemma":[0.00006264862,0.0005647305,0.000340154,0.0002516119,0.0001289942,0.0001801986,0.0002476142,0.0006634275,0.9998698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049555,"about_ca_system_score_gemma":0.00002951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101871,"about_ca_topic_score_gemma":1.993336e-7,"domain_scores_codex":[0.9971776,0.00001577087,0.0008069124,0.001150882,0.00007040794,0.0007784123],"domain_scores_gemma":[0.9985493,0.00007123247,0.0003612597,0.0008568548,0.00003309707,0.0001282312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001157759,0.00001948358,1.724751e-7,0.00002489284,0.0001442929,0.00002543676,0.00003476873,0.00001668965,3.688814e-8,0.00001129874,0.9817371,0.0179742],"study_design_scores_gemma":[0.0002412004,0.00005142437,0.000002435925,0.00002547799,0.00002202505,0.000004555849,0.000002367312,0.00005210775,6.123063e-7,0.0001413475,0.9987693,0.0006871694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001169951,0.0006831643,7.5299e-7,0.04729194,0.0001067259,0.0003091541,0.002364299,0.0001161492,0.9491267],"genre_scores_gemma":[1.350098e-7,0.000007314406,0.00006209731,0.02590265,0.002090698,0.00005262948,0.000244351,0.0000834968,0.9715566],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02242999,"threshold_uncertainty_score":0.9996804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021129837262251,"score_gpt":0.1551453763646546,"score_spread":0.1340155391024036,"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."}}