{"id":"W3164256537","doi":"10.1038/s41598-021-91276-2","title":"High-resolution metabolomic biomarkers for lung cancer diagnosis and prognosis","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Lung cancer; Metabolomics; Palmitic acid; Medicine; Cancer; Internal medicine; Oncology; Bioinformatics; Biology; Biochemistry; Fatty acid","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001134082,0.0008288256,0.0006928187,0.001415171,0.0002187721,0.0009868823,0.0002611774,0.0006401272,0.0007615152],"category_scores_gemma":[0.001136029,0.0001837026,0.0005667717,0.001652371,0.0002126995,0.0005920107,0.0004336778,0.0006504258,0.0004403059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917993,"about_ca_system_score_gemma":0.0004295484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000979753,"about_ca_topic_score_gemma":0.001394673,"domain_scores_codex":[0.9994953,0.0001767466,0.00003411421,0.0001229422,0.0001302374,0.0000407048],"domain_scores_gemma":[0.999574,0.0001007716,0.0001505947,0.00002635283,0.0001135572,0.00003465525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001455773,0.0004603416,0.2266813,0.001348078,0.001068716,0.0004983635,0.000145602,0.008238603,0.4235456,0.001555953,0.00357446,0.3314272],"study_design_scores_gemma":[0.0001233999,0.00174823,0.4672219,0.0003225011,0.001964196,0.001823667,0.0004035342,0.1532601,0.340514,0.008233992,0.02406087,0.0003235822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7300108,0.08196024,0.1726131,0.00250099,0.0003867264,0.0002607506,0.005877599,0.001241477,0.00514839],"genre_scores_gemma":[0.9132093,0.01282192,0.07041615,0.0004200678,0.0002335809,0.0000997091,0.001585588,0.00003876518,0.001174889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415171,"threshold_uncertainty_score":0.005997658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225077740027639,"score_gpt":0.2707992847114876,"score_spread":0.2585485073112113,"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."}}