{"id":"W2597480759","doi":"","title":"塩酸セチリジンドライシロップ（ジルテックRドライシロップ1.25％）の服用感に関する検討（研究）","year":2006,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":2,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005252696,0.0006704018,0.0006814417,0.0003390631,0.0002835455,0.00005691535,0.000880391,0.000697923,0.006810119],"category_scores_gemma":[0.00009798819,0.0006961045,0.0002538517,0.0005946404,0.0005685231,0.0003680916,0.0001521805,0.00144401,0.002001492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388559,"about_ca_system_score_gemma":0.0001245388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003889534,"about_ca_topic_score_gemma":0.0001088366,"domain_scores_codex":[0.9964861,0.0001075066,0.0008747595,0.0006748392,0.0006217966,0.001234974],"domain_scores_gemma":[0.9985322,0.000205919,0.0001089773,0.0007739734,0.00007543576,0.0003034589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001448666,0.0009480093,0.003110241,0.00169832,0.001091514,0.002095893,0.00175769,0.003290266,0.01684694,0.1510591,0.7669532,0.05100391],"study_design_scores_gemma":[0.005176606,0.0003324577,0.006529741,0.0005307705,0.0006886669,0.0003812123,0.001270927,0.03571796,0.01285368,0.04722846,0.886743,0.002546538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1390181,0.06839143,0.002246245,0.005844646,0.006794394,0.0008370051,0.0002306453,0.003531919,0.7731056],"genre_scores_gemma":[0.9899812,0.003051759,0.0007649311,0.0003000578,0.001695498,0.00006668119,0.0001052824,0.0001103112,0.003924296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8509631,"threshold_uncertainty_score":0.999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171356292490483,"score_gpt":0.242961644170424,"score_spread":0.2312480812455192,"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."}}