{"id":"W2154279182","doi":"10.1074/mcp.m900134-mcp200","title":"Identification of Five Candidate Lung Cancer Biomarkers by Proteomics Analysis of Conditioned Media of Four Lung Cancer Cell Lines","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Biomarkers in Disease Mechanisms","field":"Immunology and Microbiology","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lung cancer; Proteomics; Cancer; Cancer research; Biology; Adenocarcinoma; Proteome; Pathology; Medicine; Internal medicine; Bioinformatics; 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":[0.0001915748,0.0005452577,0.0004519064,0.0004237939,0.0002165847,0.0003590641,0.0002149422,0.0002691715,0.0006116293],"category_scores_gemma":[0.0002947854,0.0001095716,0.0003082138,0.0004354925,0.0001596071,0.000159109,0.000276263,0.0003400769,0.0003795913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194768,"about_ca_system_score_gemma":0.0002367054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099586,"about_ca_topic_score_gemma":0.001266187,"domain_scores_codex":[0.9998608,0.0000181883,0.00001629142,0.00002625502,0.00005303337,0.0000254371],"domain_scores_gemma":[0.9998573,0.00003502846,0.00002040246,0.0000126536,0.00005024022,0.0000243244],"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":[0.00008682562,0.00001859561,0.001638273,0.00003463501,0.000008021642,0.00004723748,0.00001177369,0.00003857963,0.9970885,0.000008490563,0.00002871195,0.0009904538],"study_design_scores_gemma":[0.00003105212,0.0007327339,0.08116152,0.00001227214,0.0001039178,0.0007729911,0.0001244261,0.002256498,0.9120079,0.00004249343,0.002732428,0.00002165778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926963,0.001208739,0.003318859,0.00007758009,0.00002657772,0.00008993091,0.002006825,0.00006343404,0.000511655],"genre_scores_gemma":[0.9645972,0.001444401,0.02049616,0.0001590573,0.00002599914,0.0002644527,0.0110253,0.00003152581,0.00195599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001099586,"threshold_uncertainty_score":0.002186358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004768751251021486,"score_gpt":0.240004066469584,"score_spread":0.2352353152185625,"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."}}