{"id":"W2738667844","doi":"","title":"インフルエンザ（H1N1)2009に対するAS03アジュバント添加インフルエンザワクチン「アレパンリックス（H1N1)筋注」の使用成績調査（研究）","year":2013,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006963939,0.001119015,0.001151083,0.0005212319,0.0004406329,0.0001494056,0.001632175,0.001132948,0.03753057],"category_scores_gemma":[0.0003308194,0.001112405,0.000405985,0.0008368192,0.0008293849,0.000965682,0.0003447139,0.002639997,0.01279638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202618,"about_ca_system_score_gemma":0.0002193104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004655671,"about_ca_topic_score_gemma":0.00005228757,"domain_scores_codex":[0.9944055,0.0002147115,0.001327077,0.001076313,0.0009554396,0.002020979],"domain_scores_gemma":[0.9969481,0.0003681649,0.0001943823,0.001385513,0.0001903856,0.0009134639],"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":[0.0001253803,0.0009133037,0.002217914,0.001941313,0.002228603,0.0008736276,0.004992868,0.0009600497,0.01557044,0.02188946,0.8103001,0.1379869],"study_design_scores_gemma":[0.01040431,0.001053056,0.01305001,0.001496288,0.001183174,0.0008466219,0.007325231,0.1021102,0.01779916,0.04678875,0.7916963,0.006246995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.30178,0.05675122,0.001586361,0.01344283,0.01098121,0.002667538,0.0002311833,0.004919302,0.6076403],"genre_scores_gemma":[0.9829627,0.007667169,0.001203244,0.001028229,0.001442204,0.0003209173,0.00009076821,0.0001914605,0.005093276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6811827,"threshold_uncertainty_score":0.999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389218098594202,"score_gpt":0.2446905892855912,"score_spread":0.2307984082996492,"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."}}