{"id":"W4307272169","doi":"10.3389/fgene.2022.893832","title":"From the patient to the population: Use of genomics for population screening","year":2022,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Lynch syndrome; Population; Genetic testing; Medicine; Genomics; Genomic medicine; Intensive care medicine; Genetics; Cancer; Environmental health; Biology; Computational biology; Internal medicine; Genome; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001642141,0.00009656534,0.0001749074,0.00005983045,0.0001449905,0.00001318327,0.0001686124,0.00003838649,0.00002908465],"category_scores_gemma":[0.0001238813,0.00007100658,0.00006898955,0.000228815,0.00002313131,0.00001405986,0.0001497358,0.0001375279,2.915668e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208556,"about_ca_system_score_gemma":0.00003917154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000638978,"about_ca_topic_score_gemma":0.0001324668,"domain_scores_codex":[0.9989396,0.00007926884,0.0003164547,0.0001942718,0.0003089449,0.00016143],"domain_scores_gemma":[0.9992845,0.0001175438,0.0001156284,0.0003916542,0.00005153239,0.00003911924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000378266,0.00003042356,0.7314439,0.000009137459,0.0000406488,5.882912e-7,0.00180706,0.1876895,0.0001697774,0.000006976356,0.02455882,0.05386487],"study_design_scores_gemma":[0.0006027694,0.0005249242,0.820512,0.00001975456,0.00009211476,0.000002357604,0.001467009,0.03519793,0.0005750569,0.0004633091,0.1404097,0.0001330621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745301,0.001082739,0.01983764,0.001241476,0.001746034,0.001344767,0.0002004579,0.000008564646,0.000008205629],"genre_scores_gemma":[0.8624966,0.0000252525,0.1360414,0.0008781935,0.0001726222,0.0001450924,0.0001660302,0.00002397508,0.0000508803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1524915,"threshold_uncertainty_score":0.2895564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264274691579916,"score_gpt":0.2635125796542784,"score_spread":0.2308698327384792,"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."}}