{"id":"W4229455318","doi":"10.3390/curroncol29050277","title":"Comprehensive Genomic Profiling of Circulating Tumor DNA in Patients with Previously Treated Metastatic Colorectal Cancer: Analysis of a Real-World Healthcare Claims Database","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guardant Health","keywords":"Medicine; Discontinuation; Colorectal cancer; Internal medicine; Oncology; Targeted therapy; Disease; Circulating tumor DNA; Cancer; Database; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002420877,0.0002313509,0.000517323,0.001790853,0.0001836444,0.0009392254,0.0005078439,0.0004657213,0.0005650467],"category_scores_gemma":[0.007586398,0.0002190739,0.0004004215,0.002917482,0.000267403,0.0004865002,0.0005951988,0.0003750417,0.0001430162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005516544,"about_ca_system_score_gemma":0.0005338096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004819788,"about_ca_topic_score_gemma":0.003741505,"domain_scores_codex":[0.9970202,0.001147586,0.0004621804,0.0006926355,0.0005268117,0.0001505294],"domain_scores_gemma":[0.9903001,0.003745004,0.004277161,0.0008324099,0.00042335,0.0004219837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003238786,0.00005538004,0.9956031,0.00002786984,0.0001213859,0.000113401,0.00006145465,0.000556183,0.00037069,0.00003814984,0.0001795435,0.002548973],"study_design_scores_gemma":[0.00003774248,0.0001411945,0.9939499,0.00001096274,0.0000545748,0.0005438612,0.0001342221,0.004234992,0.0003099679,0.00004307812,0.0005266992,0.00001278802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954194,0.0001581346,0.0003404267,0.00004760803,0.000002081193,0.0000198792,0.003844364,0.000007443825,0.0001607281],"genre_scores_gemma":[0.9917854,0.00008580534,0.0008423528,0.00004003351,0.000008999215,0.00003409554,0.007162064,0.00000251741,0.00003872621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004819788,"threshold_uncertainty_score":0.01280296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547792555535379,"score_gpt":0.3517068351756789,"score_spread":0.3062289096203251,"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."}}