{"id":"W3033288135","doi":"","title":"Cancer Genome Atlasからみた腎細胞がん領域におけるprecision medicineの現状と今後","year":2020,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Precision medicine; Medicine; Biology; Computational biology; Computer science; Genetics; Anatomy","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":[0.003827897,0.0003893948,0.0006620747,0.002838941,0.001723905,0.002835509,0.0006543541,0.0006197108,0.008482865],"category_scores_gemma":[0.006566719,0.0003266867,0.0005389019,0.004838239,0.001209462,0.0008845491,0.0009893135,0.001810962,0.003868274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225766,"about_ca_system_score_gemma":0.006049179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558522,"about_ca_topic_score_gemma":0.0249602,"domain_scores_codex":[0.9976337,0.0005914688,0.0001734624,0.0003961165,0.001020986,0.0001842281],"domain_scores_gemma":[0.9965407,0.001085429,0.0003712671,0.0005712064,0.001164391,0.0002669558],"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":[0.0005157914,0.0000722572,0.03420875,0.001948522,0.0005831898,0.0003592549,0.0009260759,0.001398473,0.01172542,0.1456653,0.4575339,0.3450632],"study_design_scores_gemma":[0.00004358383,0.00003506023,0.02521337,0.0002253899,0.0002324814,0.0005038596,0.0002911718,0.0003416412,0.007651102,0.02256314,0.9428567,0.00004245194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.07534082,0.0459598,0.08039684,0.1447778,0.007287639,0.0007115139,0.1899022,0.004536201,0.4510873],"genre_scores_gemma":[0.5214083,0.03615997,0.1205374,0.02898474,0.002776953,0.001377595,0.1920649,0.001659121,0.09503105],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01558522,"threshold_uncertainty_score":0.03098899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180953112232867,"score_gpt":0.2984284156863805,"score_spread":0.2766188845640518,"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."}}