{"id":"W2737530890","doi":"","title":"CD30抗体医薬 ブレンツキシマブ・ベドチン","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":[0.0003218002,0.0002494118,0.000211468,0.0004637782,0.000392039,0.000910076,0.0002637385,0.0005128119,0.04719601],"category_scores_gemma":[0.0007755968,0.00008912706,0.0001865407,0.000238571,0.0002659974,0.0003454962,0.0005484006,0.0006228156,0.01174647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006807811,"about_ca_system_score_gemma":0.0007818025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009077075,"about_ca_topic_score_gemma":0.001129668,"domain_scores_codex":[0.9996958,0.00004718054,0.00001339813,0.00004717199,0.00009466535,0.0001018845],"domain_scores_gemma":[0.9996531,0.00004419515,0.00003777984,0.00002512934,0.0001083629,0.0001314829],"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":[0.001620156,0.0009023322,0.008941468,0.0006812116,0.00009697526,0.001185447,0.0002063548,0.001144074,0.2834398,0.03462173,0.1234711,0.5436895],"study_design_scores_gemma":[0.0003728286,0.00149176,0.01282242,0.000190058,0.00009745531,0.00485354,0.0002613266,0.002741625,0.1614066,0.009182015,0.8065366,0.00004372718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4571569,0.01769153,0.009521503,0.01184424,0.002410731,0.0006890519,0.001326726,0.0007524583,0.498607],"genre_scores_gemma":[0.7972543,0.004769925,0.007396277,0.002693342,0.0005601603,0.0002738406,0.001046878,0.00006510114,0.1859402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04719601,"threshold_uncertainty_score":0.1578863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424867859901438,"score_gpt":0.2450607712919612,"score_spread":0.2308120926929468,"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."}}