{"id":"W2146688302","doi":"10.1373/clinchem.2011.181073","title":"Personalized Cancer Genomics: The Road Map to Clinical Implementation","year":2012,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Personalized medicine; Precision medicine; Genomics; Profiling (computer programming); Computational biology; Data science; Disease; Genomic information; Bioinformatics; Biology; Genome; Computer science; Medicine; Genetics; Pathology; Gene","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":[0.06222008,0.002505138,0.003176158,0.00338758,0.002325561,0.0143369,0.006851862,0.01736402,0.0396208],"category_scores_gemma":[0.06672877,0.001188754,0.002032578,0.002998563,0.01189171,0.02132265,0.01459138,0.02476837,0.01062578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024595,"about_ca_system_score_gemma":0.02438624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004014535,"about_ca_topic_score_gemma":0.002352891,"domain_scores_codex":[0.9787491,0.01248902,0.001140861,0.002115784,0.003956299,0.001549031],"domain_scores_gemma":[0.9357185,0.0400522,0.001523406,0.003944308,0.007494875,0.01126667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005033951,0.0004186497,0.001978415,0.002745988,0.000181046,0.0004364908,0.0008101012,0.003481292,0.0008363457,0.2754761,0.2055522,0.50758],"study_design_scores_gemma":[0.0001949377,0.0005652515,0.001700518,0.004953861,0.00009152893,0.0005717124,0.001206505,0.003858587,0.0005476965,0.4159423,0.5702217,0.0001455301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001707571,0.120602,0.09031968,0.7541393,0.006604219,0.000432485,0.0007900556,0.001632543,0.02377223],"genre_scores_gemma":[0.08368641,0.3659514,0.3065596,0.2070915,0.02452276,0.002002344,0.003072954,0.000991652,0.006121408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06222008,"threshold_uncertainty_score":0.3290552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0520625158581419,"score_gpt":0.4285138058584388,"score_spread":0.3764512900002969,"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."}}