{"id":"W2511668879","doi":"10.1002/pmic.201600230","title":"Multiplexed panel of precisely quantified salivary proteins for biomarker assessment","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Genome British Columbia; Island Health; McGill University Health Centre; University of Victoria","funders":"Genome British Columbia; Genome Canada","keywords":"Biomarker; Computational biology; Salivary Proteins; Proteomics; Biology; Computer science; Saliva; 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":[0.000247335,0.0001382792,0.0002827623,0.00009441956,0.00006513399,0.000008201589,0.00007639684,0.0001041875,0.0001080329],"category_scores_gemma":[0.0002451034,0.0000854635,0.0001513211,0.0001103873,0.00007081998,0.00007047258,0.00003156119,0.00005431403,0.00001065347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004005905,"about_ca_system_score_gemma":0.0001767358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005080255,"about_ca_topic_score_gemma":0.000008804476,"domain_scores_codex":[0.9990027,0.00002629192,0.000334663,0.0002545458,0.0001613523,0.0002204739],"domain_scores_gemma":[0.9991276,0.0001410582,0.0001337912,0.0003339323,0.0001686911,0.00009488941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001807896,0.0005916086,0.05606466,0.0002120227,0.0001484331,0.000001958015,0.00007472759,0.000001124454,0.9266297,0.001768082,0.001788806,0.010911],"study_design_scores_gemma":[0.02949895,0.002828691,0.6300477,0.0008692973,0.000365592,0.0000526811,0.0002629372,0.003593718,0.3037994,0.008923099,0.01893276,0.0008251491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6854862,0.0001417077,0.3007775,0.003119033,0.0003887725,0.007067786,0.0002704757,0.0001413945,0.002607151],"genre_scores_gemma":[0.8785577,0.00004836622,0.1192337,0.0001020505,0.00008507891,0.0008331166,0.00004505906,0.0000318886,0.001063026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6228303,"threshold_uncertainty_score":0.34851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112413622054909,"score_gpt":0.3372980832822335,"score_spread":0.2260567210767426,"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."}}