{"id":"W2221852150","doi":"","title":"α-グルコシダーゼ阻害薬服用患者へのモサプリドクエン酸塩付加投与の意義（研究）","year":2008,"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":"Medicine","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":[0.0002472612,0.0004315721,0.0004743555,0.0002074653,0.0003335738,0.0000122975,0.0006552663,0.0005488424,0.005674576],"category_scores_gemma":[0.0001144979,0.000445352,0.0001629445,0.0004064974,0.0006913755,0.0002628226,0.00009438749,0.001593655,0.001831932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007680692,"about_ca_system_score_gemma":0.0001322717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005277347,"about_ca_topic_score_gemma":0.000005954574,"domain_scores_codex":[0.997638,0.00007638449,0.0005186117,0.0004385373,0.000468953,0.0008594874],"domain_scores_gemma":[0.9988914,0.0001581057,0.00005540104,0.0005783818,0.00004977857,0.0002669883],"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":[0.00006116901,0.0002270265,0.001470216,0.0005594136,0.0007398907,0.00682867,0.005708812,0.0004148573,0.003605388,0.007911096,0.9575846,0.01488884],"study_design_scores_gemma":[0.003764367,0.0003740099,0.003373677,0.0002655983,0.000313909,0.002823767,0.001406172,0.0240978,0.009636939,0.008525162,0.9434558,0.001962801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3434185,0.05188886,0.001324154,0.05066871,0.006245785,0.0007840905,0.0001097596,0.004246724,0.5413134],"genre_scores_gemma":[0.984833,0.008319855,0.0005144383,0.003796431,0.001002519,0.00003605727,0.00002448863,0.00006537185,0.001407815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6414145,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199174474513095,"score_gpt":0.2525828626005497,"score_spread":0.2305911178554187,"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."}}