{"id":"W2743002118","doi":"","title":"がん治療最前線；遷延性嘔吐抑制へ向けて（2）","year":2006,"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":[0.0002593232,0.0003302011,0.0003403713,0.0001612495,0.000141522,0.00002319435,0.0004399721,0.0003623148,0.004683048],"category_scores_gemma":[0.00003860903,0.0003392524,0.000118897,0.0002968674,0.0003043489,0.0001757719,0.00006591929,0.0007789978,0.001277605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006146412,"about_ca_system_score_gemma":0.00005325939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001612048,"about_ca_topic_score_gemma":0.00003638277,"domain_scores_codex":[0.9982217,0.00004587147,0.0004443551,0.0003327342,0.0003115078,0.0006438274],"domain_scores_gemma":[0.9992955,0.00009230182,0.00004410111,0.0003955996,0.00003036809,0.0001420775],"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":[0.00008512108,0.0005265356,0.002033755,0.001106881,0.0005988837,0.001320979,0.001520701,0.002711801,0.01737208,0.136712,0.7964547,0.03955658],"study_design_scores_gemma":[0.004419158,0.0002485369,0.005864837,0.0004038184,0.0004987667,0.0003057931,0.001562943,0.04834003,0.01990816,0.06379588,0.8526137,0.002038369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1605076,0.05085704,0.001099685,0.003395642,0.004072548,0.0003716554,0.00009179567,0.002045119,0.7775589],"genre_scores_gemma":[0.9944558,0.001722521,0.0004552789,0.0001589607,0.00101045,0.00002656792,0.0000443383,0.00004735232,0.00207872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8339481,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}