{"id":"W3207333804","doi":"10.21203/rs.3.rs-944686/v1","title":"Data Driven Identification of Plasma Metabolite Clusters and Metabolites of Interest for Potential Detection of Early Stage Non-Small Cell Lung Cancer Cases Versus Cancer-Free Controls","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Manitoba Health; University of Manitoba","funders":"Canadian Institutes of Health Research; CancerCare Manitoba Foundation","keywords":"Metabolite; Lung cancer; Identification (biology); Stage (stratigraphy); Cancer; Computational biology; Chemistry; Biology; Internal medicine; Medicine; Biochemistry","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":[0.001807842,0.0005667709,0.0006363376,0.0009537576,0.0002560848,0.0009074676,0.0005862262,0.0007801675,0.001745115],"category_scores_gemma":[0.005547896,0.0002274563,0.0007829574,0.0007735972,0.0002532983,0.0003524462,0.0005793935,0.0004295069,0.0005221096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676973,"about_ca_system_score_gemma":0.000640887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128996,"about_ca_topic_score_gemma":0.002533759,"domain_scores_codex":[0.999377,0.0001663083,0.00003579378,0.0002375421,0.0001215579,0.00006193961],"domain_scores_gemma":[0.9978821,0.001285855,0.0001673147,0.0002032356,0.0003413747,0.000120006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03601829,0.002285002,0.50243,0.001711673,0.002923543,0.001523408,0.0003159137,0.07920389,0.2017509,0.002458398,0.01228346,0.1570955],"study_design_scores_gemma":[0.000677229,0.00190652,0.3602642,0.00007941446,0.001146159,0.00122188,0.0003566384,0.5287552,0.09128445,0.007699074,0.006452023,0.0001571912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393031,0.0006250155,0.02855204,0.0005535876,0.0001068561,0.0002149893,0.02857982,0.00129392,0.0007707633],"genre_scores_gemma":[0.9449742,0.0001324286,0.02498942,0.0001344053,0.00003420909,0.0001684986,0.02864223,0.0001033213,0.000821218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002128996,"threshold_uncertainty_score":0.009560883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08300082670220536,"score_gpt":0.3826927798163603,"score_spread":0.2996919531141549,"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."}}