{"id":"W2595195390","doi":"","title":"進行性腎細胞癌におけるサイトカイン療法の現状と将来（2）；分子標的療法時代におけるサイトカイン療法","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":"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":[0.001784755,0.0006359069,0.0006376894,0.0004555814,0.0002658144,0.00003945825,0.0009199585,0.0007790585,0.006391126],"category_scores_gemma":[0.0001930645,0.0006593502,0.0002424395,0.0007093714,0.0005462816,0.0003344811,0.0001579778,0.001767583,0.002280143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503178,"about_ca_system_score_gemma":0.00009864567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000702225,"about_ca_topic_score_gemma":0.00007400363,"domain_scores_codex":[0.9961141,0.00006800752,0.0009547077,0.0006317233,0.0006752854,0.001556204],"domain_scores_gemma":[0.9980601,0.0003552549,0.0001031851,0.0007839752,0.00008215434,0.0006153394],"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":[0.001017988,0.001403,0.006612868,0.003072741,0.003703741,0.008145293,0.01442279,0.001208159,0.05391207,0.1390113,0.3127854,0.4547046],"study_design_scores_gemma":[0.006761598,0.0006099085,0.009331848,0.0005883244,0.0007946808,0.0007739182,0.005820467,0.01544238,0.03945579,0.02210921,0.8950377,0.003274156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1817868,0.0457831,0.01036506,0.003521315,0.009064893,0.0008112659,0.00009317457,0.003248062,0.7453263],"genre_scores_gemma":[0.991736,0.003466603,0.001093841,0.0005652157,0.001377079,0.0000206947,0.00003644742,0.0001047406,0.0015994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8099492,"threshold_uncertainty_score":0.9995857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}