{"id":"W97836510","doi":"","title":"血液透析患者の皮膚そうよう症に対する塩酸フェキソフェナジン(アレグラ錠)の有用性および安全性の検討","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":"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":[0.000707961,0.0005529065,0.0005709677,0.0002421826,0.0002366313,0.00003791605,0.000604896,0.000570363,0.01251288],"category_scores_gemma":[0.0003636403,0.0005719743,0.0001972224,0.0005446877,0.0004338765,0.0002881247,0.00006280561,0.00135477,0.002071089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009908776,"about_ca_system_score_gemma":0.0001544105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000029057,"about_ca_topic_score_gemma":0.00001396182,"domain_scores_codex":[0.9970916,0.0001751355,0.0006442191,0.000563857,0.0004780994,0.001047114],"domain_scores_gemma":[0.9985276,0.0001982475,0.00007361965,0.000725183,0.00006083427,0.0004144411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001464534,0.000964949,0.002503834,0.002303924,0.002535506,0.002273427,0.007822297,0.001605448,0.01608769,0.5028744,0.4078664,0.05301568],"study_design_scores_gemma":[0.003046842,0.0002437823,0.0004711578,0.0002710182,0.0003817428,0.0003697964,0.00213084,0.005486122,0.0175277,0.02487378,0.94372,0.001477171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06517958,0.05542737,0.001558431,0.002006002,0.006569529,0.0005714528,0.00007336544,0.001783083,0.8668312],"genre_scores_gemma":[0.9897363,0.005888497,0.001018281,0.0004295293,0.0003638589,0.00005205083,0.00002068633,0.00008721316,0.002403585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245567,"threshold_uncertainty_score":0.9996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633168489969658,"score_gpt":0.2543466595009555,"score_spread":0.2380149746012589,"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."}}