{"id":"W4408025233","doi":"10.3390/curroncol32030141","title":"Toward Timely and Equitable Advanced Biomarker Testing for Patients with Metastatic Cancer in Canada","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Manitoba; BC Cancer Agency; CancerCare Manitoba; William Osler Health System","funders":"Johnson and Johnson; Pfizer; Amgen","keywords":"Medicine; Biomarker; Precision medicine; Standardization; Genetic testing; Cancer; Personalized medicine; Disease; Profiling (computer programming); Intensive care medicine; Bioinformatics; Internal medicine; Pathology; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01180621,0.0004236981,0.0006114647,0.001538899,0.007293588,0.006821925,0.002570753,0.004008427,0.006988144],"category_scores_gemma":[0.02887176,0.0005356182,0.00103644,0.002540379,0.002770594,0.0022047,0.007454347,0.006884608,0.0006057661],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09770243,"about_ca_system_score_gemma":0.4208927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684857,"about_ca_topic_score_gemma":0.9833,"domain_scores_codex":[0.9905546,0.001939152,0.000412916,0.0005411915,0.003519965,0.003032126],"domain_scores_gemma":[0.9602314,0.004611746,0.001272361,0.0005188427,0.01702837,0.01633743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003428367,0.0001879739,0.03538059,0.001073185,0.0001705714,0.00179311,0.003006598,0.00287847,0.001998179,0.03148008,0.6967204,0.2249679],"study_design_scores_gemma":[0.0003853506,0.0002306561,0.0630634,0.002031287,0.0001965798,0.0007162648,0.007760129,0.004456579,0.001309398,0.02089268,0.8986906,0.0002671015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01395094,0.01200889,0.004516379,0.937867,0.002537183,0.0004388418,0.001289419,0.0002049394,0.02718641],"genre_scores_gemma":[0.457633,0.0321278,0.04060847,0.432204,0.003372698,0.000675955,0.003326993,0.0002571073,0.02979393],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9022976,"threshold_uncertainty_score":0.7088841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04733153185945312,"score_gpt":0.3444170286847955,"score_spread":0.2970854968253424,"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."}}