{"id":"W7024284260","doi":"","title":"Salivary proteomic biomarkers of oral squamous cell carcinoma","year":2015,"lang":"en","type":"article","venue":"Nova Science Publishers (Nova Science Publishers, Inc.)","topic":"Advanced Differential Equations and Dynamical Systems","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basal cell; Carcinoma; Cancer; Epidermoid carcinoma; Disease; Cell","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006042787,0.0003660833,0.0003450786,0.001426556,0.0003023291,0.0008508186,0.0002130285,0.0005485291,0.002419029],"category_scores_gemma":[0.0007880394,0.0001601688,0.0003040528,0.0008275274,0.0001755346,0.000286288,0.0004392078,0.0003630485,0.0006506633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745112,"about_ca_system_score_gemma":0.000218642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00044063,"about_ca_topic_score_gemma":0.000415356,"domain_scores_codex":[0.999686,0.00008009531,0.00004140649,0.00005485406,0.00009089465,0.00004683709],"domain_scores_gemma":[0.999713,0.00003256947,0.0001095072,0.0000160527,0.00008501632,0.00004380194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003120922,0.0005262805,0.7117868,0.001079908,0.000632889,0.0007627503,0.0003160583,0.0003050119,0.2072252,0.0002362865,0.002017302,0.07199065],"study_design_scores_gemma":[0.00005565268,0.0008959614,0.9657757,0.00008172687,0.0003188003,0.002156432,0.0006625412,0.0009561962,0.02301601,0.0003011613,0.005756906,0.0000228647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759461,0.01823304,0.0009084769,0.0002791023,0.0001227072,0.00009345957,0.001357229,0.00007117519,0.002988538],"genre_scores_gemma":[0.9940476,0.002578606,0.0008122426,0.00014978,0.00007519252,0.00007315999,0.0007432582,0.00000578445,0.001514197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002419029,"threshold_uncertainty_score":0.008092463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08964276499116013,"score_gpt":0.3306316168396691,"score_spread":0.240988851848509,"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."}}