{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008085939,0.000265437,0.0001927543,0.0002086428,0.0008498293,0.000570729,0.0003593272,0.0006018936,0.009370034],"category_scores_gemma":[0.000597061,0.0001385332,0.0003141809,0.0001813327,0.000327411,0.000343338,0.0004293464,0.0007141944,0.003733926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481483,"about_ca_system_score_gemma":0.00108618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009619741,"about_ca_topic_score_gemma":0.009381921,"domain_scores_codex":[0.9996597,0.00005321718,0.00002225345,0.00008593188,0.0001076704,0.00007113419],"domain_scores_gemma":[0.9997553,0.00003526036,0.00004197627,0.00002179734,0.00009685977,0.00004873723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002840068,0.0004489474,0.04462305,0.001016873,0.0002479958,0.0008667122,0.0008577534,0.002435221,0.4459043,0.008408866,0.04677735,0.445573],"study_design_scores_gemma":[0.0002649098,0.002225572,0.06679282,0.0003509631,0.0001995111,0.00217894,0.001297641,0.002558978,0.4747525,0.004368995,0.4448691,0.0001401248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530723,0.02900211,0.02173735,0.008591796,0.003698928,0.0008386934,0.006752814,0.0003930933,0.1759129],"genre_scores_gemma":[0.9159039,0.006726493,0.01708146,0.003966206,0.0004869594,0.0002619578,0.004745211,0.00006623483,0.05076159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009619741,"threshold_uncertainty_score":0.03134584,"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."}}