{"id":"W2747259386","doi":"","title":"EXPERT MEETING 2006 血管機能からみた高血圧治療","year":2006,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003748013,0.0003780079,0.0003835889,0.0001702345,0.0001957985,0.00002907823,0.0004553868,0.0003800617,0.002656284],"category_scores_gemma":[0.0000702426,0.0003893493,0.0001289718,0.0002952794,0.0002727914,0.0002002671,0.00007962502,0.000738858,0.0005735382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007250096,"about_ca_system_score_gemma":0.00005025182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007296158,"about_ca_topic_score_gemma":0.0000715778,"domain_scores_codex":[0.9978716,0.00006495438,0.0005508059,0.0003886292,0.0003641413,0.0007598843],"domain_scores_gemma":[0.9992298,0.0001322285,0.00006154653,0.0003901359,0.00003899853,0.000147258],"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":[0.00006416961,0.000365471,0.001404337,0.000589425,0.0004094308,0.0008663256,0.00234589,0.003254133,0.03896585,0.02044801,0.9027188,0.02856814],"study_design_scores_gemma":[0.003395171,0.0001569639,0.00122468,0.0007433154,0.0002351295,0.0001989821,0.002790632,0.05423237,0.04041271,0.01383789,0.8808631,0.00190907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09252859,0.136718,0.0009714596,0.004342373,0.003867239,0.0003796538,0.00007323393,0.002119951,0.7589995],"genre_scores_gemma":[0.9925035,0.003038534,0.001047707,0.0002713418,0.001514353,0.0000408717,0.00004090405,0.00006073406,0.001482106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8999749,"threshold_uncertainty_score":0.9998558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266322053612463,"score_gpt":0.2503270853856836,"score_spread":0.237663864849559,"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."}}