{"id":"W2255198229","doi":"","title":"敗血症性ショック後のARDSに対するシベレスタットナトリウム (エラスポール^( !R)) 投与時の好中球エラスターゼ, サーファクタントD, およびサイトカイン値の検討","year":2003,"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":"ARDS; Computer science; 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":[0.001617508,0.0002924036,0.000278203,0.0006405163,0.001483179,0.002095483,0.00052906,0.0009383257,0.03521924],"category_scores_gemma":[0.002398072,0.0002319598,0.000335893,0.0003345866,0.001530564,0.001191236,0.0009553255,0.001218054,0.01341394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119949,"about_ca_system_score_gemma":0.001606162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003790627,"about_ca_topic_score_gemma":0.003510971,"domain_scores_codex":[0.9989277,0.0001978561,0.00007717023,0.0001719068,0.000471356,0.0001540937],"domain_scores_gemma":[0.9985203,0.0002574133,0.0001774678,0.0001585492,0.0007095328,0.0001767237],"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":[0.0005336616,0.000454181,0.006700755,0.0004626038,0.0001036351,0.0007651374,0.001261263,0.001392393,0.07572159,0.4616742,0.05342557,0.397505],"study_design_scores_gemma":[0.00008366771,0.0008978388,0.01600484,0.0002369551,0.0001250058,0.002106101,0.001951821,0.003895618,0.1165522,0.1205857,0.7373658,0.0001943333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1077627,0.004365431,0.06364057,0.01145326,0.002896496,0.0003006127,0.0006179158,0.0008309337,0.808132],"genre_scores_gemma":[0.5753717,0.003224709,0.05368064,0.003774351,0.001025002,0.0002365239,0.0005544031,0.0002274079,0.3619053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03521924,"threshold_uncertainty_score":0.11782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591297892292134,"score_gpt":0.2552120625213236,"score_spread":0.2392990835984022,"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."}}