{"id":"W2598602898","doi":"","title":"婦人科における静脈血栓塞栓症（VTE）予防の方向性","year":2010,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine","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":[0.002683325,0.0003114785,0.0003555747,0.0009898994,0.0009486385,0.002065212,0.0003553831,0.0008908504,0.00637277],"category_scores_gemma":[0.01126764,0.0002500823,0.0004611896,0.0005719482,0.001908855,0.0009445606,0.0004118074,0.001246846,0.001922961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247971,"about_ca_system_score_gemma":0.001937297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265308,"about_ca_topic_score_gemma":0.003154369,"domain_scores_codex":[0.9976972,0.0005069579,0.0002590241,0.0002887449,0.001067859,0.0001801833],"domain_scores_gemma":[0.9914814,0.003977085,0.001351843,0.0006247823,0.002121747,0.0004431371],"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":[0.0007154372,0.000557711,0.1243324,0.000875911,0.0004214222,0.003584074,0.002576008,0.001404412,0.01671748,0.07547332,0.0174411,0.7559007],"study_design_scores_gemma":[0.0003302524,0.002669735,0.2686648,0.001387294,0.001397042,0.04741255,0.007550597,0.00619586,0.1206769,0.1502598,0.3931498,0.0003053579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5293248,0.03744015,0.06725853,0.02800854,0.002330977,0.0007656463,0.001407042,0.0003272108,0.333137],"genre_scores_gemma":[0.9491761,0.008816045,0.01561558,0.002283451,0.00123658,0.0001086553,0.0004020975,0.00003837099,0.02232301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00637277,"threshold_uncertainty_score":0.02131909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242620742157547,"score_gpt":0.2551619172801331,"score_spread":0.2427357098585576,"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."}}