{"id":"W2025264332","doi":"10.1016/j.oos.2009.06.121","title":"O36. Proteomics based diagnostic and prognostic biomarkers for head-and-neck cancer: Challenges and opportunities","year":2009,"lang":"en","type":"article","venue":"Oral Oncology Supplement","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; York University","funders":"","keywords":"Medicine; Head and neck; Head and neck cancer; Oncology; Cancer; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002598731,0.0001908952,0.0005110905,0.00008153958,0.000142685,0.00001053439,0.00003160375,0.00009238908,0.00005024605],"category_scores_gemma":[0.0001445978,0.000156322,0.00003229678,0.00002777154,0.0001971984,0.00004566371,0.00003705375,0.00008529472,2.755288e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210188,"about_ca_system_score_gemma":0.0002620349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007095453,"about_ca_topic_score_gemma":0.0006448633,"domain_scores_codex":[0.9989458,0.00004517845,0.0002466584,0.000315243,0.0001013976,0.0003457723],"domain_scores_gemma":[0.9991519,0.0004125808,0.00006906314,0.00009858231,0.00006957322,0.000198289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001624708,0.0006040089,0.06061493,0.0009733973,0.0003767984,0.0001577539,0.001868982,6.701325e-7,0.0005192839,0.002269404,0.01736787,0.9136222],"study_design_scores_gemma":[0.01689039,0.02819449,0.3668031,0.0007864114,0.0008527692,0.00009240211,0.002254991,0.0004999274,0.0009893856,0.0009684914,0.5811404,0.0005272499],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707089,0.03139957,0.00005054867,0.2576317,0.0001630318,0.002990353,0.0001324092,0.00005277913,0.0004905448],"genre_scores_gemma":[0.9379031,0.04803231,0.008504255,0.003997941,0.0001368579,0.001242754,0.00006129408,0.0000190371,0.0001024433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9130949,"threshold_uncertainty_score":0.6374627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079412249043276,"score_gpt":0.3734813742221042,"score_spread":0.2655401493177766,"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."}}