{"id":"W2012145163","doi":"10.1002/pmic.201000186","title":"Identification of proteins secreted by head and neck cancer cell lines using LC‐MS/MS: Strategy for discovery of candidate serological biomarkers","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada); York University; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Serology; Biomarker discovery; Proteomics; Biology; Computational biology; Antibody; Immunology; Biochemistry; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001131659,0.0001628954,0.0002407463,0.00002531147,0.0000745779,0.00001876533,0.0001769551,0.0001709601,0.00002687009],"category_scores_gemma":[0.0000206949,0.0001529448,0.00006187692,0.00008640007,0.0001413223,0.0001986601,0.00006041408,0.00009415334,1.187254e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005637895,"about_ca_system_score_gemma":0.00007042044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669217,"about_ca_topic_score_gemma":0.00008652396,"domain_scores_codex":[0.9989238,0.00001067777,0.0004856897,0.0003082654,0.00008260539,0.0001889696],"domain_scores_gemma":[0.9989892,0.00001905437,0.000532483,0.0002831217,0.0001281791,0.00004793155],"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":[0.0002341321,0.0000999422,0.002237566,0.0003978444,0.00002811578,1.156463e-7,0.00008115225,0.00003467793,0.9963017,0.0002609748,0.0000131608,0.0003106629],"study_design_scores_gemma":[0.0004375369,0.00007060482,0.0001610265,0.00006426382,0.00003831903,0.000001352982,0.00005797002,0.004897782,0.990716,0.003354611,0.0000390278,0.0001614416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642283,0.0002561733,0.1333677,0.00001890078,0.000009360578,0.00112662,0.0008433473,0.00003635456,0.0001131796],"genre_scores_gemma":[0.9066517,0.0003046737,0.09198067,0.000007741712,0.00002644714,0.0008347103,0.00007807909,0.00002760235,0.00008835238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04242341,"threshold_uncertainty_score":0.6236909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859526341031861,"score_gpt":0.3057828576127777,"score_spread":0.2671875942024591,"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."}}