{"id":"W3202505769","doi":"","title":"カナダの産科医と婦人科医に対するCOVID-19の実践的影響【JST・京大機械翻訳】","year":2021,"lang":"ja","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Betacoronavirus; Coronavirus Infections; Virology; Medical physics; Pathology; Infectious disease (medical specialty); Disease","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":[],"category_scores_codex":[0.0003185952,0.0003214791,0.0007753151,0.0003456854,0.0001924019,0.00005063943,0.0003412465,0.0005717929,0.001196089],"category_scores_gemma":[0.004107754,0.0003271896,0.0001384263,0.0007600932,0.0001541362,0.0001747299,0.0001032908,0.001283782,0.000003275787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121195,"about_ca_system_score_gemma":0.003988503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006832174,"about_ca_topic_score_gemma":0.0778687,"domain_scores_codex":[0.9977856,0.0001165605,0.0009377298,0.0002551585,0.0003425671,0.0005623504],"domain_scores_gemma":[0.9959083,0.002664869,0.000305122,0.0003022668,0.0004992032,0.0003202998],"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":[0.00003288194,0.000729538,0.13192,0.002604964,0.006008932,0.2436123,0.002166722,0.02509159,0.0006528996,0.07505373,0.1144201,0.3977063],"study_design_scores_gemma":[0.008723413,0.001618806,0.3807786,0.0001139568,0.001229499,0.002870714,0.01290937,0.004401829,0.00115401,0.01732509,0.5667534,0.00212129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5982063,0.3059319,0.0002882885,0.002986249,0.06171314,0.0001490242,0.0001223677,0.00004062596,0.03056203],"genre_scores_gemma":[0.9930001,0.005050075,0.0007804192,0.0004570649,0.00007845429,0.000001360523,0.000005003499,0.00002841682,0.0005990969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4523333,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009300016813025102,"score_gpt":0.2026870951532256,"score_spread":0.1933870783402004,"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."}}