{"id":"W7133090144","doi":"","title":"Interrogation of the Non-small Cell Lung Carcinoma Proteome Landscape Uncovers Proteotypes and an ACO2-Iron Axis associated with Tumor Aggressiveness and Patient Outcomes","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada)","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Proteome; Aconitase; Stromal cell; Cell growth; Cell; Gene knockdown; Lung cancer; Proteomics; Carcinoma; Mitochondrion","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":[0.0001302382,0.0001947177,0.0002068222,0.0005079381,0.0001726186,0.0003321876,0.00007658792,0.0001875841,0.0005916892],"category_scores_gemma":[0.0001696031,0.00009085246,0.0002321072,0.000477205,0.00009913723,0.0001441093,0.0002019158,0.000268125,0.0001655983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575264,"about_ca_system_score_gemma":0.0001476559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009748033,"about_ca_topic_score_gemma":0.0015812,"domain_scores_codex":[0.9999342,0.000007393671,0.000004610645,0.00002035818,0.00001699172,0.00001634804],"domain_scores_gemma":[0.9999201,0.000009533422,0.00003377378,0.000005562057,0.00001445238,0.00001657337],"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":[0.000938302,0.0000741846,0.1484269,0.0001487614,0.0001601905,0.0003969175,0.0001359942,0.000430625,0.8371737,0.0001388893,0.0005893153,0.01138619],"study_design_scores_gemma":[0.000009841254,0.0001850916,0.9528095,0.0000114199,0.00007508909,0.0008745893,0.0001801092,0.003630678,0.04024417,0.0001981312,0.001770602,0.00001068421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973825,0.0007870874,0.0004529722,0.00005889119,0.000004935242,0.000008046713,0.0009635598,0.00001689886,0.0003250521],"genre_scores_gemma":[0.9965057,0.0004083659,0.0006330071,0.00003367068,0.000005897985,0.00001256327,0.001892665,0.000005936307,0.0005020933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009748033,"threshold_uncertainty_score":0.001979411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005028601053944943,"score_gpt":0.2473436141857944,"score_spread":0.2423150131318494,"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."}}