{"id":"W3216679696","doi":"10.1007/s12687-021-00557-w","title":"Early-stage economic analysis of research-based comprehensive genomic sequencing for advanced cancer care","year":2021,"lang":"en","type":"article","venue":"Journal of Community Genetics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Spinal Cord Injury BC; University of British Columbia; Simon Fraser University; Canadian Centre for Applied Research in Cancer Control","funders":"Common Fund; National Human Genome Research Institute; NIH Office of the Director; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs; Genome British Columbia; National Cancer Institute; National Institutes of Health; BC Cancer Foundation; Genome Canada","keywords":"Stage (stratigraphy); Public health; Epidemiology; Genomic sequencing; Genomic medicine; Medicine; DNA sequencing; Cancer; Computational biology; Oncology; Biology; Bioinformatics; Internal medicine; Genetics; Genome; Pathology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01091355,0.0004444193,0.0006063785,0.002366435,0.0003078258,0.001907729,0.001259292,0.0005345176,0.004011903],"category_scores_gemma":[0.03612809,0.0002692003,0.0008036842,0.002055519,0.0003359243,0.0009716609,0.001237351,0.0008605103,0.0004132395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004754751,"about_ca_system_score_gemma":0.008267437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02491106,"about_ca_topic_score_gemma":0.0296387,"domain_scores_codex":[0.9935055,0.003043537,0.0002464358,0.0003236339,0.002021133,0.0008597371],"domain_scores_gemma":[0.9798767,0.01102279,0.002211331,0.0008675857,0.004686315,0.001335216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002496864,0.0004931653,0.7694618,0.0005034594,0.0007857251,0.0002979833,0.0001873355,0.02997683,0.001846695,0.02277035,0.0181858,0.1529941],"study_design_scores_gemma":[0.0001915344,0.0007922241,0.850787,0.0002673779,0.0005415276,0.0002496656,0.0005843679,0.101416,0.003538553,0.01378977,0.02778572,0.00005638162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8499231,0.005692052,0.05282087,0.01686774,0.0004147346,0.00164446,0.03455378,0.0002045785,0.03787879],"genre_scores_gemma":[0.9810797,0.0007171601,0.008520889,0.0006138002,0.0001016495,0.0002206076,0.005973306,0.00002853895,0.002744311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02491106,"threshold_uncertainty_score":0.05771708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07090653844468403,"score_gpt":0.3846175151200178,"score_spread":0.3137109766753338,"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."}}