{"id":"W2744891010","doi":"","title":"冠動脈疾患の治療を考える；PCI専門医からみた北陸地区の心血管イベントの現状；長期予後を考慮した再発抑制治療について","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":"Conventional PCI; Medicine; Business; Cardiology; Myocardial infarction","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":[0.00154784,0.0003459867,0.0002595588,0.0008669226,0.002099369,0.002945325,0.0004368194,0.0008781934,0.01943889],"category_scores_gemma":[0.003361971,0.0003295992,0.0003720479,0.0004889806,0.0038549,0.001842862,0.0008504782,0.001539598,0.006554946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733582,"about_ca_system_score_gemma":0.002591326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005835959,"about_ca_topic_score_gemma":0.004176687,"domain_scores_codex":[0.998693,0.0001723241,0.00008499739,0.0002409547,0.0006737022,0.000134922],"domain_scores_gemma":[0.9977102,0.0006765687,0.0002473139,0.0002526804,0.0009132345,0.0002000241],"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":[0.0003421468,0.0002996792,0.008496592,0.0004831727,0.0001092108,0.001087011,0.004647825,0.002211082,0.04786633,0.5718319,0.02309433,0.3395307],"study_design_scores_gemma":[0.00008435055,0.0005763017,0.02566533,0.0002382097,0.0001744633,0.002399147,0.006627941,0.002492908,0.1206279,0.2678942,0.5730417,0.0001774724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1159233,0.005324283,0.03987685,0.008875578,0.001348343,0.0002435885,0.000410316,0.0003075013,0.8276903],"genre_scores_gemma":[0.7744312,0.004932061,0.02890309,0.002535829,0.001065401,0.0001952427,0.0003074409,0.0001132615,0.1875166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01943889,"threshold_uncertainty_score":0.06502956,"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."}}