{"id":"W4280489627","doi":"10.3390/diagnostics12051244","title":"Multi Cancer Early Detection by Using Circulating Tumor DNA—The Galleri Test. Reply to Klein et al. The Promise of Multicancer Early Detection. Comment on “Pons-Belda et al. Can Circulating Tumor DNA Support a Successful Screening Test for Early Cancer Detection? The Grail Paradigm. Diagnostics 2021, 11, 2171”","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Criticism; Test (biology); Circulating tumor DNA; Constructive; Holy Grail; Cancer; Philosophy; Epistemology; Psychology; Medicine; Biology; Internal medicine; Political science; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001268132,0.0006554358,0.000532456,0.0001352331,0.00177604,0.0003040877,0.0007549872,0.0001114726,0.00004126561],"category_scores_gemma":[0.005923791,0.0005412151,0.0003319342,0.0006547374,0.0002603664,0.00003222795,0.0005344551,0.0007589459,0.000001792609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050536,"about_ca_system_score_gemma":0.0005516093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238489,"about_ca_topic_score_gemma":0.01591294,"domain_scores_codex":[0.9957921,0.0003709682,0.001050368,0.001103615,0.0007416465,0.0009413266],"domain_scores_gemma":[0.9927864,0.004430754,0.0009414256,0.001087903,0.0004927606,0.0002607405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007799718,0.001231647,0.1665303,0.0001378471,0.0007405629,0.00006987519,0.003981255,0.1240473,0.6579241,0.0000372928,0.02864612,0.0158737],"study_design_scores_gemma":[0.007014675,0.005616872,0.170279,0.0006041116,0.001193144,0.0001450454,0.002537254,0.05582135,0.4262705,0.00008919916,0.3274899,0.002939031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659143,0.0009069627,0.01059079,0.01498684,0.0009536078,0.003500591,0.003087074,0.00004831251,0.00001150569],"genre_scores_gemma":[0.956363,0.0007284404,0.0005443371,0.03746467,0.0003464904,0.004224093,0.00009613411,0.0001953121,0.00003751411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2988438,"threshold_uncertainty_score":0.9997039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992552489980014,"score_gpt":0.2886553917907597,"score_spread":0.2687298668909595,"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."}}