{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004050348,0.0004744447,0.0006219004,0.0001976154,0.0002496349,0.0001462631,0.0001522864,0.0002436607,0.000008974623],"category_scores_gemma":[0.00004188652,0.0004411514,0.0002221111,0.0002571424,0.000142822,0.0002994742,0.00007959103,0.0002755673,0.000002888831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900134,"about_ca_system_score_gemma":0.0005217101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124017,"about_ca_topic_score_gemma":0.00007405237,"domain_scores_codex":[0.9976508,0.00008830295,0.0005156558,0.0006062189,0.0003110582,0.0008279461],"domain_scores_gemma":[0.998614,0.00002873039,0.0002062818,0.0005223246,0.0002027972,0.000425864],"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":[0.0008974709,0.0007532506,0.002435265,0.0006259741,0.00006118035,0.00007480481,0.0001907884,0.0003744425,0.9941763,0.00002076369,0.00002860216,0.0003611595],"study_design_scores_gemma":[0.00694378,0.001018541,0.001010036,0.00008655256,0.0004438817,0.00002449844,0.0002563999,0.01696877,0.9724354,0.00001285018,0.0003038144,0.0004954459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7872868,0.002300193,0.2080154,0.00007749637,0.0002450069,0.001798299,0.0001242135,0.00005111428,0.0001014638],"genre_scores_gemma":[0.9708174,0.00001438478,0.02792954,0.000293734,0.0001643798,0.0001055782,0.0003895465,0.0001258656,0.0001595681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1835306,"threshold_uncertainty_score":0.999804,"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."}}