{"id":"W2913691662","doi":"10.1016/j.pathol.2018.12.085","title":"Molecular Tumor Board – Interesting Cases From A Cancer Genomics Program","year":2019,"lang":"en","type":"article","venue":"Pathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Genomics; Personalized medicine; Precision medicine; Medicine; Computational biology; Exome; Exome sequencing; Bioinformatics; Genome; Biology; Pathology; Gene; Genetics","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":[0.0003624345,0.001119736,0.0004129069,0.003787683,0.00320212,0.001347101,0.001584127,0.004049768,0.01037257],"category_scores_gemma":[0.002084219,0.0006688859,0.0008402862,0.001591227,0.00103907,0.00105803,0.001803435,0.002241328,0.001842914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940536,"about_ca_system_score_gemma":0.0009799144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00463134,"about_ca_topic_score_gemma":0.009640425,"domain_scores_codex":[0.9992353,0.000061174,0.00004564312,0.0001229101,0.0001935729,0.0003414489],"domain_scores_gemma":[0.9986123,0.0001887574,0.000166901,0.00006240817,0.0001214716,0.0008482077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00005975824,0.0001294869,0.01600909,0.00002876706,0.00001685297,0.975463,0.0002536205,0.0001148298,0.001239238,0.000533876,0.003302338,0.002849054],"study_design_scores_gemma":[0.00001990753,0.00008174963,0.02543505,0.00002741857,0.00003930485,0.965076,0.0006189076,0.0004533214,0.001371023,0.0005651898,0.006293913,0.00001838015],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989916,0.002135526,0.0031538,0.03765039,0.001128505,0.0003080445,0.001068978,0.0004091405,0.05515405],"genre_scores_gemma":[0.9765028,0.0009890139,0.002599257,0.006157213,0.001453795,0.00003402131,0.0005904633,0.0002170088,0.01145638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037257,"threshold_uncertainty_score":0.03469974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117405648617659,"score_gpt":0.2730461901008794,"score_spread":0.2618721336147028,"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."}}