{"id":"W2027782825","doi":"10.1158/1535-7163.targ-11-b48","title":"Abstract B48: Feasibility study of molecular profiling (MP) in patients (Pts) with advanced solid cancers using targeted mutation analysis and targeted exome sequencing.","year":2011,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"Exome sequencing; Sanger sequencing; Exome; Medicine; COLD-PCR; Germline mutation; DNA sequencing; Oncology; Ion semiconductor sequencing; Liquid biopsy; Mutation; Targeted therapy; Internal medicine; Computational biology; Cancer; Genetics; Gene; Biology; Point mutation","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":[0.002067403,0.0003650403,0.0003579881,0.0004200746,0.0003397817,0.0006780664,0.0003032332,0.0004971742,0.002972744],"category_scores_gemma":[0.003631017,0.0002116877,0.0003917162,0.000310575,0.0002461258,0.0004034466,0.0005687719,0.0005106053,0.001181693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360252,"about_ca_system_score_gemma":0.0004551323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008100877,"about_ca_topic_score_gemma":0.000600756,"domain_scores_codex":[0.9992331,0.000326793,0.00004765131,0.0001965938,0.0001188859,0.00007697211],"domain_scores_gemma":[0.9977495,0.0009190405,0.0003479827,0.0001587777,0.0003736473,0.0004510801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02151902,0.002431733,0.8669022,0.0002021624,0.0001918441,0.001560472,0.0004826774,0.001413809,0.05205609,0.00009575893,0.001923971,0.05122025],"study_design_scores_gemma":[0.001470923,0.04807549,0.9132532,0.00002887232,0.0002583539,0.004230046,0.0004243175,0.003997607,0.02405027,0.0001515458,0.00402299,0.00003624589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970645,0.0001340716,0.0009024686,0.00009705283,0.000008387637,0.0002350224,0.000580298,0.00003961633,0.0009385616],"genre_scores_gemma":[0.9952742,0.00007022449,0.002586509,0.0001142506,0.00002035468,0.0002579541,0.001287685,0.00001928803,0.0003694881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972744,"threshold_uncertainty_score":0.01093358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792714412372515,"score_gpt":0.2875685918545766,"score_spread":0.2596414477308515,"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."}}