{"id":"W2164931020","doi":"10.1517/17530059.2.5.475","title":"Secretory vesicle analysis for discovery of low abundance plasma biomarkers","year":2008,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Biomarker discovery; Secretory protein; Biomarker; Secretion; Biology; Secretory pathway; Proteomics; Computational biology; Signal peptide; Cell biology; Prostate cancer; Bioinformatics; Cancer; Biochemistry; Peptide sequence; Gene; Golgi apparatus; Endoplasmic reticulum; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007522703,0.0004816389,0.0005469588,0.0009758691,0.0002285797,0.0007278874,0.0003367107,0.0006316424,0.00067373],"category_scores_gemma":[0.0007420584,0.0001654796,0.0003681006,0.0004669938,0.0002939961,0.0004267276,0.0005564725,0.0005309716,0.0004968664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200898,"about_ca_system_score_gemma":0.0003429034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002914601,"about_ca_topic_score_gemma":0.0003158383,"domain_scores_codex":[0.9996543,0.0001140922,0.00002225581,0.00007232984,0.0001052993,0.00003160092],"domain_scores_gemma":[0.9997295,0.00009618163,0.00004543138,0.0000221786,0.0000819198,0.00002493552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001880916,0.00001535187,0.001039353,0.0001828344,0.00002509811,0.00007658768,0.00001860059,0.0001021383,0.9897488,0.0002692587,0.00009461854,0.008239266],"study_design_scores_gemma":[0.0000260845,0.0003027329,0.005492454,0.00003503465,0.00007733737,0.0008940703,0.00004107196,0.004402871,0.9831132,0.0005805126,0.005019225,0.00001535226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.769804,0.03428188,0.1892519,0.000786815,0.0001801786,0.0003565071,0.001593043,0.000500207,0.003245468],"genre_scores_gemma":[0.8681601,0.01604346,0.111754,0.0002929436,0.00006343325,0.0002096095,0.001503746,0.00007298351,0.001899702],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0009758691,"threshold_uncertainty_score":0.003978431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255625079326855,"score_gpt":0.3132134291599787,"score_spread":0.2906571783667102,"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."}}