{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001935947,0.00037766,0.0002856184,0.000383901,0.0003814833,0.0003293712,0.0002336319,0.000168762,0.000775033],"category_scores_gemma":[0.0001383523,0.0001322128,0.0002516871,0.0004577791,0.000167817,0.0003178474,0.000206769,0.0003507585,0.0004111356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643505,"about_ca_system_score_gemma":0.0005411245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457486,"about_ca_topic_score_gemma":0.003281206,"domain_scores_codex":[0.9998596,0.000006522856,0.00001372847,0.00003322387,0.00005481861,0.00003210044],"domain_scores_gemma":[0.9999295,0.00001120544,0.000008424277,0.000008520248,0.00003185826,0.00001038564],"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":[0.00004563941,0.000008658199,0.0002174123,0.00003209771,0.0000044474,0.00002856082,0.000009178083,0.00001435657,0.9987055,0.0000178152,0.00004283494,0.0008735845],"study_design_scores_gemma":[0.00001366607,0.0001814409,0.04930068,0.00001329417,0.00008018731,0.0006687118,0.00009108624,0.001098371,0.9432018,0.00009186046,0.005245712,0.00001315584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739084,0.003777687,0.0128183,0.0001380896,0.0001289987,0.0001664073,0.005883038,0.0002032305,0.002975795],"genre_scores_gemma":[0.925729,0.007340175,0.04133689,0.0003929688,0.00006387167,0.0005168,0.01602167,0.0001521561,0.008446408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457486,"threshold_uncertainty_score":0.002898037,"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."}}