{"id":"W2165045471","doi":"10.1074/mcp.m112.020933","title":"Potentially Novel Candidate Biomarkers for Head and Neck Squamous Cell Carcinoma Identified Using an Integrated Cell Line-based Discovery Strategy","year":2012,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Head and neck squamous-cell carcinoma; Biomarker discovery; Proteomics; Human Protein Atlas; Biomarker; Immunohistochemistry; Biology; Transcriptome; Cancer research; Blot; Cancer; Head and neck cancer; Bioinformatics; Gene expression; Gene; Immunology; Protein expression","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":[0.0007468997,0.0008287955,0.001466195,0.001518365,0.0002479243,0.001263745,0.0004721784,0.0005950442,0.0006757891],"category_scores_gemma":[0.0007049507,0.0002538844,0.0009018896,0.001429291,0.000175328,0.0004769612,0.0005366029,0.0005154916,0.0005657756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000347665,"about_ca_system_score_gemma":0.0006582412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005470101,"about_ca_topic_score_gemma":0.001129379,"domain_scores_codex":[0.9996215,0.00003330122,0.00003526196,0.0001033629,0.0001625856,0.00004399066],"domain_scores_gemma":[0.9996799,0.00005769822,0.00008832303,0.00002462645,0.0001185866,0.00003094268],"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":[0.0002325835,0.0001106934,0.00603503,0.0002392456,0.0001045185,0.0002602605,0.00003326219,0.0004908562,0.9777665,0.00008658432,0.0002629589,0.01437753],"study_design_scores_gemma":[0.00008163135,0.001758449,0.06534865,0.00007945563,0.001072691,0.002495818,0.0002637104,0.0241361,0.8903372,0.0004805868,0.01386265,0.00008301988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426075,0.008832853,0.03637515,0.0003608849,0.000100954,0.0006490999,0.008975635,0.0006096122,0.001488403],"genre_scores_gemma":[0.8215403,0.007934737,0.1365675,0.0006388028,0.00008806873,0.000674688,0.02954442,0.00007734993,0.002934159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518365,"threshold_uncertainty_score":0.003950059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060249895354528,"score_gpt":0.2776999643865638,"score_spread":0.2470974654330185,"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."}}