{"id":"W4291002222","doi":"10.51731/cjht.2022.414","title":"An Overview of Comprehensive Genomic Profiling Technologies to Inform Cancer Care","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Emerging technologies; Clinical trial; Health care; Medicine; Data science; Computer science; Pathology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00857659,0.001408404,0.001050783,0.008561466,0.0006724262,0.003246636,0.001587818,0.002657642,0.01370741],"category_scores_gemma":[0.01509,0.0007202313,0.00135086,0.006836518,0.001172883,0.003217686,0.002015043,0.003610683,0.005156279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004826782,"about_ca_system_score_gemma":0.00749853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559195,"about_ca_topic_score_gemma":0.02148175,"domain_scores_codex":[0.9959495,0.001446793,0.0004579379,0.0004002184,0.001529195,0.0002163445],"domain_scores_gemma":[0.9850884,0.008575344,0.0007368182,0.0004994525,0.004263102,0.0008369122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008408031,0.00005128636,0.001505614,0.00447707,0.00009872034,0.0001632522,0.000129107,0.000650927,0.0007116452,0.01672308,0.1371127,0.8382924],"study_design_scores_gemma":[0.00001628663,0.00008731518,0.00226734,0.006576079,0.00008518539,0.0005893564,0.00008301708,0.0005554274,0.0004317354,0.01002687,0.9792333,0.00004805077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008291843,0.8515313,0.03598759,0.04534641,0.00402911,0.0006414067,0.00367178,0.001029816,0.05693329],"genre_scores_gemma":[0.006770406,0.913132,0.04947868,0.01512369,0.003398763,0.0006781256,0.003129664,0.0001680615,0.008120548],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01559195,"threshold_uncertainty_score":0.04585582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449433329869874,"score_gpt":0.3327109231258695,"score_spread":0.2877675901388821,"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."}}