{"id":"W2408757335","doi":"10.1515/cclm-2015-0762","title":"The side effects of translational omics: overtesting, overdiagnosis, overtreatment","year":2015,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Overdiagnosis; Disease; Medicine; Omics; Intensive care medicine; Population; Genomics; Bioinformatics; Pathology; Genome; Biology; Genetics","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":[0.0005449973,0.0001659737,0.0002663374,0.000005464862,0.00007590522,0.00001066348,0.0001400082,0.0001828293,0.000005437903],"category_scores_gemma":[0.003317856,0.0001193056,0.00006840851,0.00007167154,0.0004799556,0.00000339349,0.00006446631,0.0001435488,0.00000126843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001438855,"about_ca_system_score_gemma":0.0003208068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001582533,"about_ca_topic_score_gemma":0.00001013675,"domain_scores_codex":[0.9988236,0.00006258884,0.0004595922,0.000309056,0.0001706906,0.000174484],"domain_scores_gemma":[0.9980583,0.0009678534,0.0001798415,0.0003307367,0.0001996094,0.0002637126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001996789,0.001407147,0.2836462,0.000970332,0.001181796,0.00009692265,0.0004845223,0.0002241721,0.4572062,0.001179093,0.2106055,0.0410013],"study_design_scores_gemma":[0.0109038,0.00211831,0.03760944,0.0003131814,0.00041482,0.00002310251,0.000315237,0.0002186086,0.3926597,0.001816613,0.552991,0.0006161613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972733,0.02301089,0.0001333275,0.001112456,0.0004908571,0.0001977762,0.0000712544,0.00001083809,0.002239647],"genre_scores_gemma":[0.9913431,0.00587004,0.000165829,0.0008848054,0.001381717,0.00002636123,0.0001020856,0.00002043552,0.0002056619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3423855,"threshold_uncertainty_score":0.4865139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979898712520587,"score_gpt":0.3141171569867287,"score_spread":0.2943181698615228,"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."}}