{"id":"W4313544494","doi":"10.1111/cas.15717","title":"Clinical utility of Todai OncoPanel in the setting of approved comprehensive cancer genomic profiling tests in Japan","year":2023,"lang":"en","type":"article","venue":"Cancer Science","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Chugai Pharmaceutical; Sysmex Corporation; University of Tokyo; Japan Agency for Medical Research and Development","keywords":"Medicine; Christian ministry; Internal medicine; Fusion gene; Clinical trial; Exon; Oncology; Gene; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011511,0.00009112051,0.0002022285,0.0000757373,0.00004324103,0.00001137849,0.0005166059,0.00006359808,0.000003720205],"category_scores_gemma":[0.0003087487,0.00007616409,0.00005157343,0.0007431324,0.000467854,0.00000554693,0.0002223523,0.0001223586,6.932046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004041607,"about_ca_system_score_gemma":0.0009148258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172151,"about_ca_topic_score_gemma":0.002533194,"domain_scores_codex":[0.9987085,0.0000537927,0.0004121425,0.0003828977,0.0001710079,0.0002716452],"domain_scores_gemma":[0.999163,0.0001332883,0.0001712118,0.0003519294,0.0001391062,0.00004140492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003526138,0.00003676049,0.6001878,0.00004470278,0.000004131681,8.627603e-7,0.0004176673,0.001559941,0.3875265,0.00003365332,0.0001307139,0.01002199],"study_design_scores_gemma":[0.0004080787,0.00007592134,0.9320467,0.0000547525,0.000005387162,6.993332e-7,0.0006766865,0.004344935,0.06175018,0.00006592144,0.0004736491,0.00009707249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978687,0.001070079,0.00001519196,0.0002112824,0.0002916612,0.0002833872,0.00005910646,0.000003151294,0.0001974504],"genre_scores_gemma":[0.9982559,0.001122327,0.0002197971,0.0002308336,0.00009053874,0.00005747567,0.000007596996,0.000006580583,0.000008944879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3318589,"threshold_uncertainty_score":0.3105882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05574169470659722,"score_gpt":0.3789070303994874,"score_spread":0.3231653356928902,"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."}}