{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004275108,0.0003594111,0.0003685041,0.0001744902,0.0001653706,0.00002863927,0.0006847048,0.0005882,0.0120525],"category_scores_gemma":[0.0001766905,0.0003601496,0.0001277063,0.0002738512,0.0004531892,0.0002185988,0.0001013909,0.002346369,0.001746807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229114,"about_ca_system_score_gemma":0.00008522526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004894326,"about_ca_topic_score_gemma":0.0000693416,"domain_scores_codex":[0.998143,0.00003766596,0.0004210426,0.0003799389,0.0003276198,0.0006907244],"domain_scores_gemma":[0.9988489,0.0001240224,0.00004795463,0.0006161014,0.00004314699,0.0003199237],"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":[0.0001660124,0.000679754,0.002612873,0.001606997,0.001588133,0.001454351,0.007172919,0.00027092,0.2798537,0.1476449,0.3677342,0.1892153],"study_design_scores_gemma":[0.002831503,0.0001936505,0.002698683,0.0001658629,0.0003415835,0.000343578,0.001050987,0.02882512,0.02624114,0.01714738,0.9187484,0.001412138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5706729,0.01075251,0.0004418022,0.006976844,0.01429652,0.0004505462,0.00008827564,0.002127233,0.3941934],"genre_scores_gemma":[0.9950085,0.001789917,0.0007732312,0.00031201,0.001067398,0.00003436896,0.00002139874,0.00005410462,0.0009390294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5510142,"threshold_uncertainty_score":0.9999552,"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."}}