{"id":"W2271726916","doi":"","title":"心房細動診療における抗血栓療法のUP-TO-DATE","year":2011,"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":[0.002527941,0.000530622,0.0004116934,0.001641027,0.001945459,0.004536416,0.000771506,0.001154942,0.02900354],"category_scores_gemma":[0.004557025,0.0003472644,0.0005450875,0.001124173,0.001836471,0.003590855,0.001435305,0.001526604,0.01676422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297198,"about_ca_system_score_gemma":0.002143334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166242,"about_ca_topic_score_gemma":0.001959798,"domain_scores_codex":[0.9981124,0.0002310075,0.0001544238,0.0002569234,0.001013257,0.0002319267],"domain_scores_gemma":[0.9960581,0.0007970196,0.0003266836,0.0008208205,0.00172686,0.0002705434],"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":[0.000397551,0.0002904272,0.008118683,0.0006721843,0.00008865858,0.001053548,0.001759591,0.001288633,0.02633838,0.2098255,0.03381413,0.7163528],"study_design_scores_gemma":[0.00002382257,0.000271935,0.009858496,0.0003152578,0.0001251866,0.001793354,0.001737748,0.00139161,0.07045497,0.0602241,0.8536595,0.0001440303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.09944242,0.02550577,0.1180987,0.008176696,0.005536842,0.0004636084,0.001758901,0.001173837,0.7398431],"genre_scores_gemma":[0.5217904,0.02569757,0.08764469,0.003068341,0.00235628,0.0002364646,0.001733883,0.0004046117,0.3570678],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02900354,"threshold_uncertainty_score":0.09702647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152891448637921,"score_gpt":0.2570808108475325,"score_spread":0.2255518963611533,"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."}}