{"id":"W2965206207","doi":"10.3390/cancers11081069","title":"Liquid Biopsy in Lung Cancer Screening: The Contribution of Metabolomics. Results of A Pilot Study","year":2019,"lang":"en","type":"article","venue":"Cancers","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Boniface Hospital; University of Manitoba; CancerCare Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Lung cancer; Metabolomics; Medicine; Cancer; Metabolite; Internal medicine; Oncology; Pathology; Bioinformatics; Biology","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":[0.006912,0.001079327,0.0006774676,0.0006714554,0.0005483953,0.0009329821,0.0005065812,0.001052775,0.0009083253],"category_scores_gemma":[0.005352321,0.0003012941,0.0007064796,0.0005019256,0.0007290318,0.000689511,0.0005916018,0.0006793173,0.0005131392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602059,"about_ca_system_score_gemma":0.0008734263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965909,"about_ca_topic_score_gemma":0.001842026,"domain_scores_codex":[0.996543,0.002367666,0.0001079507,0.0003436324,0.0004960988,0.0001416476],"domain_scores_gemma":[0.996496,0.001448386,0.0004880726,0.0003063276,0.0008147504,0.0004463174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04648413,0.01311518,0.6572844,0.0009172154,0.001310079,0.001913551,0.001021986,0.0009506783,0.1464735,0.0001725884,0.0009953735,0.1293613],"study_design_scores_gemma":[0.002291911,0.127831,0.8087981,0.0002032552,0.001867984,0.004402679,0.001135146,0.005066264,0.04239135,0.0002846249,0.005640389,0.00008736713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889769,0.005010033,0.003242518,0.000299346,0.0000524881,0.0008692887,0.0003909778,0.00006788715,0.001090523],"genre_scores_gemma":[0.9944443,0.001105562,0.003026966,0.0002770727,0.00005266374,0.0002300144,0.0004316823,0.0000182017,0.0004136292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006912,"threshold_uncertainty_score":0.03655463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379907881879853,"score_gpt":0.2904780747880298,"score_spread":0.2766789959692312,"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."}}