{"id":"W2736946082","doi":"","title":"フルチカゾン点鼻薬による治療は季節性アレルギー性鼻炎患者の眼症状を有意に改善する（海外文献Data Analysis）","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":"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":[0.04822796,0.0007252162,0.001136873,0.002027726,0.001859867,0.003038214,0.001048831,0.0006068086,0.01232092],"category_scores_gemma":[0.1097803,0.0007081818,0.001614811,0.002084188,0.003135953,0.001749784,0.001105814,0.001260567,0.002937093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111266,"about_ca_system_score_gemma":0.006491934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903237,"about_ca_topic_score_gemma":0.004219177,"domain_scores_codex":[0.9561326,0.01851993,0.007619515,0.004765321,0.01182558,0.001137092],"domain_scores_gemma":[0.8811414,0.06805082,0.009287002,0.01616027,0.02414694,0.001213536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003005669,0.0006104838,0.1759866,0.003149049,0.001483278,0.0004980942,0.009789119,0.001324282,0.01245013,0.0454222,0.02417947,0.7221016],"study_design_scores_gemma":[0.0009416184,0.003285152,0.3670771,0.00233188,0.004465342,0.003056715,0.01178879,0.02579688,0.1209173,0.1203626,0.3394819,0.0004946956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3046669,0.004069197,0.5437362,0.01150683,0.002014204,0.01299475,0.008678576,0.001937744,0.1103955],"genre_scores_gemma":[0.633633,0.001200079,0.3302886,0.002531185,0.0007434586,0.01072381,0.002481501,0.0004040767,0.01799428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04822796,"threshold_uncertainty_score":0.2550569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798957765771684,"score_gpt":0.272699392205156,"score_spread":0.2547098145474392,"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."}}