{"id":"W3111569956","doi":"","title":"November Table II","year":2020,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","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":[0.001169548,0.00105844,0.0008420239,0.005681008,0.002518227,0.005584523,0.001699948,0.001382539,0.8317263],"category_scores_gemma":[0.005744108,0.0006099848,0.0008842318,0.00673459,0.0004837746,0.001518817,0.001999425,0.001815341,0.7740692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004301438,"about_ca_system_score_gemma":0.007174725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08118588,"about_ca_topic_score_gemma":0.145153,"domain_scores_codex":[0.998591,0.00009820043,0.00005936541,0.0001638522,0.0008352316,0.0002522889],"domain_scores_gemma":[0.9951521,0.0003950365,0.0001500339,0.0004745164,0.002842173,0.0009860247],"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":[0.00001779648,0.00001168518,0.0001496293,0.00005924274,0.000001407822,0.000007136915,0.000007382309,0.00003162896,0.00004032544,0.0006276067,0.987005,0.01204101],"study_design_scores_gemma":[0.00001007085,0.000008597295,0.001855665,0.00008105289,0.000001591954,0.000007008046,0.00003191913,0.00002635139,0.00005033005,0.0002867343,0.9976354,0.000005481507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004894998,0.0009681007,0.0003871164,0.002134587,0.005579502,0.0004932013,0.1268987,0.001376976,0.8616723],"genre_scores_gemma":[0.0009521359,0.0005186704,0.0002375661,0.0009881926,0.0004099075,0.0001653364,0.03341967,0.0003536688,0.9629549],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1682737,"threshold_uncertainty_score":0.2400219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05187719422692622,"score_gpt":0.2023884772298759,"score_spread":0.1505112830029496,"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."}}