{"id":"W2680585678","doi":"","title":"腎とレニン・アンジオテンシン・アルドステロン系/高血圧","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":[0.001753678,0.0003394736,0.0001557217,0.0008665877,0.001359126,0.004597679,0.0004252456,0.001201119,0.01782506],"category_scores_gemma":[0.00162571,0.0001626165,0.0001765663,0.0004045569,0.003152238,0.002144669,0.0008257205,0.001158631,0.003412241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002869111,"about_ca_system_score_gemma":0.003136265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625121,"about_ca_topic_score_gemma":0.002636055,"domain_scores_codex":[0.9993653,0.0001360018,0.00002887486,0.00007588607,0.0002952688,0.00009876411],"domain_scores_gemma":[0.9991801,0.0002035516,0.00008789564,0.00005945433,0.0003226328,0.0001462778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003187815,0.00007610204,0.0009690193,0.0001522522,0.00001422333,0.0001696842,0.001024909,0.0003067449,0.002861283,0.9126022,0.01279657,0.06899508],"study_design_scores_gemma":[0.00002436596,0.0001948172,0.00519433,0.0002975433,0.00003485772,0.0007806055,0.004619382,0.001048094,0.009904585,0.3017014,0.6761582,0.00004187896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04465668,0.006731852,0.01037999,0.04096218,0.001271872,0.0001193614,0.00008721623,0.0000800409,0.8957108],"genre_scores_gemma":[0.7584777,0.006471212,0.008385387,0.006643754,0.0007870325,0.00008161338,0.00004994552,0.00003228021,0.2190711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01782506,"threshold_uncertainty_score":0.05963081,"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."}}