{"id":"W2742467018","doi":"","title":"学会TOPICS 第100回 米国胸部疾患学会COPDと酸化ストレス","year":2005,"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":"COPD; Computer science; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333407,0.0002661445,0.0002379279,0.001040307,0.001376607,0.002778082,0.0002848485,0.001547331,0.01498988],"category_scores_gemma":[0.0026321,0.0001216759,0.0003166225,0.0005919027,0.002029747,0.001649204,0.00110914,0.001604949,0.003711287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324352,"about_ca_system_score_gemma":0.003234584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002685905,"about_ca_topic_score_gemma":0.00423522,"domain_scores_codex":[0.9991608,0.0001832387,0.00005058046,0.00006272745,0.0004108233,0.0001318242],"domain_scores_gemma":[0.9990546,0.0003628619,0.0000856377,0.00003583404,0.0002460217,0.0002149624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002160611,0.0005374236,0.01708657,0.001234551,0.00008206475,0.001109244,0.004531662,0.000376863,0.009150159,0.2015225,0.1750726,0.5890802],"study_design_scores_gemma":[0.0000267108,0.0002134464,0.02467,0.0006509899,0.00004371938,0.002367887,0.003843914,0.0002003457,0.003782939,0.05892672,0.9052435,0.00002988616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06472065,0.1107555,0.003128164,0.1823077,0.006987329,0.0001683692,0.0004471163,0.00008322114,0.631402],"genre_scores_gemma":[0.5490924,0.08934436,0.004161337,0.05009992,0.01271705,0.0002642156,0.000661114,0.000081217,0.2935784],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01498988,"threshold_uncertainty_score":0.05014616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162643741476968,"score_gpt":0.2616886548226566,"score_spread":0.2454242806749598,"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."}}