{"id":"W2598933724","doi":"","title":"心・腎・脳の臓器障害におけるリスクファクター：高頻度存在する原発性アルドステロン症の診断・治療の意義","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","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":[0.001038683,0.0002345923,0.0002175515,0.0006536355,0.001963226,0.002610532,0.0004124111,0.000973951,0.01737625],"category_scores_gemma":[0.002167301,0.0002252236,0.0002630599,0.0004063877,0.003329196,0.00170408,0.0006563682,0.001248932,0.00504528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531258,"about_ca_system_score_gemma":0.001999062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082127,"about_ca_topic_score_gemma":0.00326315,"domain_scores_codex":[0.9992374,0.00009323496,0.00004510861,0.000150033,0.0003966466,0.00007751122],"domain_scores_gemma":[0.998698,0.0003295748,0.0001478188,0.0001305452,0.0005408108,0.0001530852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002136934,0.0002263359,0.005393362,0.0003444739,0.00006090476,0.0006843336,0.003402953,0.001750569,0.04429188,0.7081739,0.01614079,0.2193169],"study_design_scores_gemma":[0.00006307629,0.0005916017,0.01847153,0.0002294705,0.000124893,0.001595168,0.006088766,0.002643316,0.1003964,0.3110049,0.5586396,0.0001512374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1315504,0.006174745,0.0443197,0.01050496,0.001804134,0.0002051129,0.0002769547,0.0002154207,0.8049486],"genre_scores_gemma":[0.7581927,0.004096189,0.02318105,0.002237769,0.0007260301,0.00009817188,0.0001457426,0.00006227397,0.21126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01737625,"threshold_uncertainty_score":0.05812931,"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."}}