{"id":"W3035300531","doi":"","title":"I IO combo時代における転移性腎細胞がん中間リスク群に対する一次治療～推奨点と懸念点～：アキシチニブ・アベルマブ併用","year":2020,"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":[0.0003173708,0.0006116048,0.0007555638,0.000140801,0.0002176671,0.00005068635,0.001018174,0.0005560298,0.0085845],"category_scores_gemma":[0.0002660981,0.0006475176,0.0002367609,0.0005841029,0.0004784885,0.0003266115,0.0002254129,0.001812408,0.003009994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006420916,"about_ca_system_score_gemma":0.0001276051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003171905,"about_ca_topic_score_gemma":0.000008251266,"domain_scores_codex":[0.9969127,0.0001206877,0.00074382,0.0006788413,0.0005657031,0.0009782845],"domain_scores_gemma":[0.9983172,0.0001908533,0.00009139393,0.0005334938,0.00006247277,0.000804517],"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":[0.0004051055,0.0005577764,0.00199636,0.00400126,0.002734108,0.003249297,0.02288662,0.002188454,0.02297842,0.05580921,0.8198172,0.06337617],"study_design_scores_gemma":[0.006783685,0.0009308725,0.001371142,0.0005122006,0.000841141,0.0001563014,0.005380015,0.1415173,0.01359871,0.007254632,0.8189753,0.002678785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1730011,0.08995479,0.004113003,0.08983336,0.008733284,0.001745691,0.0006046006,0.007612992,0.6244012],"genre_scores_gemma":[0.9894573,0.005090523,0.0003743441,0.003364169,0.00120145,0.00004561448,0.00006469448,0.0001009994,0.0003008668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8164563,"threshold_uncertainty_score":0.9995976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465606799661361,"score_gpt":0.2558904267567268,"score_spread":0.2312343587601132,"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."}}