{"id":"W4402616149","doi":"10.3390/cancers16183179","title":"Metabolomic Profiling of Pulmonary Neuroendocrine Neoplasms","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Centre hospitalier universitaire de Québec; University of Alberta; Université Laval; The Metabolomics Innovation Centre; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Institut de Valorisation des Données; MEDTEQ+; Mitacs","keywords":"Metabolomics; Profiling (computer programming); Computational biology; Medicine; Pathology; Bioinformatics; Biology; Computer science","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":[0.0002186955,0.0003316588,0.0002788148,0.0009647617,0.0002026858,0.00037454,0.000113422,0.0002720371,0.0007296549],"category_scores_gemma":[0.0003728122,0.00007715861,0.0002813798,0.0007025955,0.0001239543,0.0001684564,0.0002976751,0.0002179428,0.0001630404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128825,"about_ca_system_score_gemma":0.0001939648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006829069,"about_ca_topic_score_gemma":0.0009958432,"domain_scores_codex":[0.9998459,0.00003953808,0.00001455776,0.00004620605,0.00003263322,0.00002115356],"domain_scores_gemma":[0.9998506,0.00003156044,0.00005047135,0.000008556119,0.00003938781,0.00001951689],"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":[0.002949475,0.0001782712,0.2078786,0.0005622228,0.0005506112,0.0007589628,0.0001513476,0.0009226791,0.7283241,0.0001703359,0.0005717545,0.05698157],"study_design_scores_gemma":[0.00008991722,0.001758535,0.6888043,0.000102919,0.0006125245,0.004069015,0.0004396356,0.00563293,0.2890454,0.0006958228,0.008693121,0.00005593842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838102,0.009184756,0.003454724,0.0002121079,0.00003491868,0.00004735504,0.002325944,0.00006179178,0.0008681617],"genre_scores_gemma":[0.9927185,0.001779366,0.00333035,0.0001420588,0.0000220065,0.00003478202,0.001439779,0.000009678801,0.0005235669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009647617,"threshold_uncertainty_score":0.002440929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517799578675142,"score_gpt":0.3437458890967281,"score_spread":0.3185678933099767,"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."}}