{"id":"W2602875715","doi":"","title":"スギ花粉症に対する第2世代抗ヒスタミン薬による初期治療の検討（その2）（研究）","year":2006,"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":[0.0006311535,0.0003047562,0.0002640855,0.0005718363,0.001448786,0.001369194,0.0003854673,0.000849658,0.02088423],"category_scores_gemma":[0.000950384,0.0002437612,0.0003451326,0.0002991006,0.001453767,0.0009834747,0.0005378167,0.0009612495,0.005897056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007679965,"about_ca_system_score_gemma":0.001042479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967332,"about_ca_topic_score_gemma":0.001487546,"domain_scores_codex":[0.9993829,0.00007884091,0.0000264978,0.0001342123,0.0002712133,0.0001063457],"domain_scores_gemma":[0.9992962,0.0001725962,0.00008624597,0.00007867664,0.000276407,0.00008988952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0009303465,0.0005004891,0.008728648,0.0005635525,0.0001411453,0.001930758,0.002180356,0.002965355,0.4260565,0.3125429,0.0217219,0.221738],"study_design_scores_gemma":[0.00009748218,0.001139527,0.02062106,0.0001070925,0.0001316364,0.003372221,0.002495064,0.003615349,0.5346935,0.09627965,0.3372752,0.0001722167],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3390533,0.004918431,0.05302533,0.004837985,0.001800297,0.0002598969,0.0005206897,0.0004653667,0.5951187],"genre_scores_gemma":[0.8352642,0.00200524,0.0197745,0.001553093,0.0004753029,0.0001435764,0.000365789,0.00009532894,0.140323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02088423,"threshold_uncertainty_score":0.06986469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}