{"id":"W4379283773","doi":"10.1200/jco.2023.41.16_suppl.3071","title":"Large retrospective validation study of metabolomic biomarkers for resectable lung cancer detection and risk assessment.","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; University of Alberta","funders":"","keywords":"Medicine; Lung cancer; Internal medicine; Oncology; Cancer; Biomarker; Stage (stratigraphy); Adenocarcinoma; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004251108,0.0004811408,0.0004140981,0.0006104195,0.0005872188,0.0005598462,0.0005505235,0.0006269899,0.001233926],"category_scores_gemma":[0.008051969,0.0004952443,0.0004723334,0.0005185775,0.000401881,0.0003551314,0.0004727661,0.0004694524,0.0005855056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018092,"about_ca_system_score_gemma":0.0004505964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976814,"about_ca_topic_score_gemma":0.001715471,"domain_scores_codex":[0.9975077,0.0008614175,0.0002374734,0.0007233274,0.0005326276,0.0001375189],"domain_scores_gemma":[0.9949411,0.001564961,0.0009298666,0.001269549,0.0009196128,0.0003749221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007209083,0.00009493188,0.9966527,0.00001472226,0.0000805714,0.0001101164,0.00006619765,0.00004629864,0.0008322175,0.0000206648,0.0001345347,0.001226262],"study_design_scores_gemma":[0.00009375277,0.0008053096,0.9964982,0.000009467512,0.0001047248,0.0005898284,0.0000882064,0.0005430713,0.0005780901,0.0000357184,0.0006447788,0.000008762281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980401,0.0002326069,0.0007979196,0.00001885978,0.00001212683,0.00008168043,0.0005214682,0.000008697403,0.0002864931],"genre_scores_gemma":[0.9978695,0.00004874193,0.0005450039,0.0000372703,0.00001188111,0.0000825066,0.001222085,0.000005960024,0.0001770081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004251108,"threshold_uncertainty_score":0.02248228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05259541201615695,"score_gpt":0.4636769617179346,"score_spread":0.4110815497017776,"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."}}