{"id":"W3185041038","doi":"","title":"DAWN JAPAN DIALOGUE 1 インスリン治療をどうスムーズに導入すべきか?二相性インスリンアナログ製剤 ノボラピッド30ミックスの使用実態","year":2007,"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":"History","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":[0.001688693,0.0007688472,0.0007969118,0.0004996888,0.0003471448,0.00005055036,0.001111821,0.0009393683,0.005001472],"category_scores_gemma":[0.0003263776,0.0007999035,0.0002817489,0.0007587372,0.0008861012,0.0003855924,0.0002158633,0.002042387,0.001780486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871436,"about_ca_system_score_gemma":0.0001365217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001705496,"about_ca_topic_score_gemma":0.0001841626,"domain_scores_codex":[0.9955396,0.000100628,0.001100905,0.0007821794,0.0007277963,0.001748874],"domain_scores_gemma":[0.9976012,0.0005025269,0.0001344858,0.0009512692,0.00008693346,0.0007236288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001014952,0.002007945,0.009482198,0.003681325,0.004405969,0.006177491,0.02648617,0.001183304,0.04865886,0.09829988,0.3741542,0.4244477],"study_design_scores_gemma":[0.01028591,0.001092905,0.02064994,0.001137053,0.001414319,0.001050842,0.01103464,0.01406533,0.05931259,0.0253164,0.8491222,0.005517838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3864052,0.03768422,0.006308,0.003965556,0.01240535,0.001144604,0.0002557445,0.003645782,0.5481855],"genre_scores_gemma":[0.9915174,0.003713951,0.0008425079,0.0005994519,0.001811524,0.0000327233,0.0001250984,0.0001261909,0.001231212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6051121,"threshold_uncertainty_score":0.9994452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772067441293807,"score_gpt":0.2624186073586109,"score_spread":0.2446979329456728,"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."}}