{"id":"W2435419079","doi":"","title":"Branch Atheromatous Disease に関する最近の話題","year":2008,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Aortic Thrombus and Embolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disease; Medicine; Computer science; Internal 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003471497,0.0005003372,0.0008458061,0.0001371624,0.0004203465,0.00001902404,0.0003921546,0.0001943137,0.01763712],"category_scores_gemma":[0.0004393238,0.0004335627,0.0003337128,0.0003573615,0.0007535316,0.0001613969,0.0001583324,0.0007095257,0.005046812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145025,"about_ca_system_score_gemma":0.0008368898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195168,"about_ca_topic_score_gemma":0.000001219316,"domain_scores_codex":[0.9960511,0.0001320102,0.0007587358,0.0006799044,0.001298883,0.001079414],"domain_scores_gemma":[0.9961755,0.0001478319,0.0002035619,0.0008116337,0.0001195587,0.00254192],"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":[0.001748859,0.004508901,0.04280208,0.00200352,0.001695849,0.02003793,0.02509619,0.00001015998,0.007403562,0.0005216295,0.8098101,0.08436123],"study_design_scores_gemma":[0.01554305,0.000419347,0.1890455,0.001550263,0.002513648,0.001804195,0.0004740414,0.003048723,0.001955313,0.0004924661,0.7817609,0.001392566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383608,0.02764508,0.0002520785,0.01288727,0.004294404,0.0007810504,0.00009859167,0.0003212978,0.01535947],"genre_scores_gemma":[0.9676192,0.01114964,0.00008740684,0.006118848,0.004545087,0.00004157045,0.00006812646,0.0001160893,0.01025405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1462434,"threshold_uncertainty_score":0.9998116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091574068588558,"score_gpt":0.2988575727949314,"score_spread":0.2679418321090458,"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."}}