{"id":"W2079693268","doi":"10.1016/j.ymeth.2015.02.008","title":"Comprehensive proteome analysis of fresh frozen and optimal cutting temperature (OCT) embedded primary non-small cell lung carcinoma by LC–MS/MS","year":2015,"lang":"en","type":"article","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Proteome; Carcinoma; Primary (astronomy); Lung; Chemistry; Chromatography; Medicine; Pathology; Biochemistry; Internal medicine; Physics; Astrophysics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003790688,0.0002710542,0.0006274832,0.0001177458,0.000105374,0.00004486917,0.0003018484,0.0002631062,0.00005833435],"category_scores_gemma":[0.00004495514,0.0002631596,0.0001548609,0.0004859152,0.00009587853,0.00008979293,0.0002407799,0.0004162561,7.381623e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009148636,"about_ca_system_score_gemma":0.00006789098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149896,"about_ca_topic_score_gemma":0.000001498152,"domain_scores_codex":[0.9984924,0.0001021409,0.0004333049,0.0005131853,0.0001683326,0.0002906272],"domain_scores_gemma":[0.9984696,0.0001779022,0.0003163694,0.0006145996,0.0002405946,0.0001809611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003000988,0.00005949101,0.003486749,0.000247142,0.0001554578,0.000002689419,0.0006059502,0.0003716264,0.9930697,0.00001932889,0.001075291,0.0008765497],"study_design_scores_gemma":[0.0004938509,0.00003070115,0.0005107924,0.00002744457,0.0005147068,0.00000346294,0.0003746913,0.009982445,0.9845852,0.0002198068,0.002950494,0.0003064568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7787088,0.0009978387,0.2148324,0.00005324285,0.00001325578,0.0004218718,0.0001715076,0.00008926453,0.004711903],"genre_scores_gemma":[0.1215706,0.00003203278,0.8771318,0.00009244831,0.00005974729,0.0002435485,0.000209161,0.00004128118,0.0006194082],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6622995,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095975116885923,"score_gpt":0.3255302542713578,"score_spread":0.3045705031024986,"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."}}