{"id":"W2599493906","doi":"","title":"直接トロンビン阻害薬（ダビガトラン）とFactor Xa阻害薬（リバーロキサバンならびアピキサバン）の凝血塊に対する作用の比較検討","year":2012,"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","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":[0.001101715,0.0003380123,0.0002812411,0.0005821937,0.001142819,0.001677889,0.0003670875,0.0006616013,0.01731223],"category_scores_gemma":[0.001174174,0.0003091428,0.0003596322,0.0004135636,0.001107231,0.001077061,0.0004252793,0.001214292,0.005476929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007970827,"about_ca_system_score_gemma":0.0009770045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008843123,"about_ca_topic_score_gemma":0.0006463148,"domain_scores_codex":[0.9993489,0.0001040782,0.00004343861,0.0001302791,0.0002745237,0.00009868548],"domain_scores_gemma":[0.999244,0.0001473462,0.0001419663,0.0001097476,0.000275963,0.00008095318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001200706,0.0006250595,0.01115338,0.001261828,0.0002982214,0.001269539,0.001688982,0.001903297,0.4669989,0.1547737,0.02133462,0.3374918],"study_design_scores_gemma":[0.00009974791,0.001107729,0.01288876,0.0001445952,0.0001794437,0.001788528,0.0008442005,0.001239316,0.6391421,0.01761499,0.3248606,0.00009010691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3498937,0.02718124,0.09061905,0.008988961,0.003580135,0.0007346139,0.0007768128,0.0009508986,0.5172746],"genre_scores_gemma":[0.7524555,0.01124761,0.03667401,0.002747114,0.001025265,0.0002414031,0.0004438276,0.0001444887,0.1950207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01731223,"threshold_uncertainty_score":0.05791515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277822723575114,"score_gpt":0.2671209836882371,"score_spread":0.244342756452486,"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."}}