{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100376,0.0002245172,0.0003789999,0.0007031698,0.0003604845,0.0007162231,0.000263818,0.0002771267,0.0009327293],"category_scores_gemma":[0.002650356,0.0001568657,0.0002344982,0.0009179019,0.0003124823,0.000429142,0.0007101754,0.0003507418,0.0001946952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006641263,"about_ca_system_score_gemma":0.0006135101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005816363,"about_ca_topic_score_gemma":0.01132332,"domain_scores_codex":[0.9992367,0.000211235,0.0001113883,0.0001620659,0.0001671585,0.0001115063],"domain_scores_gemma":[0.9989021,0.0001630038,0.0003292711,0.00005732568,0.000287134,0.0002611721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003458895,0.00005953173,0.9535316,0.00008075262,0.00004025779,0.001223351,0.0003318172,0.000146781,0.002321328,0.00007772216,0.001693091,0.04014794],"study_design_scores_gemma":[0.00005278647,0.0004631548,0.9846421,0.00007134092,0.0001923578,0.00407453,0.0008860125,0.001469948,0.001436783,0.0001149408,0.006565334,0.00003075648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907922,0.003308248,0.0005863442,0.0005188682,0.00004801842,0.00004672659,0.0003855805,0.00003781358,0.004276284],"genre_scores_gemma":[0.9970621,0.0009090494,0.0009579872,0.0002604589,0.00003785005,0.00002130292,0.0004515227,0.000009063572,0.0002906561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005816363,"threshold_uncertainty_score":0.01156503,"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."}}