{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196635,0.0002809365,0.0002410105,0.00104809,0.001871405,0.00153029,0.0003941545,0.0004619384,0.02739352],"category_scores_gemma":[0.002247108,0.0002007795,0.0004623924,0.0007596116,0.001616457,0.000669273,0.0006835232,0.0009311851,0.004504711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687948,"about_ca_system_score_gemma":0.003518634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668086,"about_ca_topic_score_gemma":0.01686253,"domain_scores_codex":[0.9993163,0.00009596335,0.00005203256,0.0000948392,0.0002842915,0.0001566176],"domain_scores_gemma":[0.9982493,0.0003563682,0.0002665638,0.00008659599,0.0006994046,0.0003418848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001704938,0.0006341157,0.1477029,0.001078996,0.0003031954,0.007143476,0.004822449,0.0007156169,0.09566047,0.05302624,0.0369231,0.6502845],"study_design_scores_gemma":[0.0001713289,0.001269253,0.1758226,0.0007034467,0.0003694118,0.01073574,0.006765691,0.0006728429,0.1013089,0.02336507,0.6786523,0.0001633076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4140928,0.01753168,0.01097652,0.01579365,0.004668641,0.0005625422,0.003172099,0.0003162101,0.5328858],"genre_scores_gemma":[0.8136907,0.01141724,0.01265397,0.003139041,0.001290841,0.0002514141,0.001571396,0.0001734718,0.1558118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9833192,"threshold_uncertainty_score":0.09164047,"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."}}