{"id":"W2078457315","doi":"10.1002/pmic.201000219","title":"Biochips that sequentially capture and focus antigens for immunoaffinity MALDI‐TOF MS: A new tool for biomarker verification","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Biochip; Linker; Chemistry; Cleavage (geology); Gene isoform; Matrix-assisted laser desorption/ionization; Chromatography; Nanotechnology; Combinatorial chemistry; Materials science; Biochemistry; Computer science; Organic chemistry","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":[0.0004891505,0.0009820701,0.0006664466,0.0006200475,0.0003093171,0.0008938923,0.001058339,0.001287231,0.0008322654],"category_scores_gemma":[0.0007105573,0.0007571414,0.0003069326,0.0003199763,0.0004588442,0.0007496125,0.0006503772,0.001074506,0.001747653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514348,"about_ca_system_score_gemma":0.0004124829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002900829,"about_ca_topic_score_gemma":0.0004844224,"domain_scores_codex":[0.9994262,0.00007147073,0.00003459535,0.0001410687,0.0002654462,0.00006126722],"domain_scores_gemma":[0.9995078,0.0001742526,0.00008570392,0.00006046822,0.0001084327,0.00006337524],"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":[0.00002352879,0.00001189198,0.00006969089,0.00004325159,0.000005654534,0.00002601314,0.000007625511,0.00007198689,0.9941301,0.0001453601,0.00009295597,0.005371805],"study_design_scores_gemma":[0.000009859363,0.00006694987,0.0004206555,0.000005187805,0.00001315921,0.0003766304,0.000009923831,0.00138379,0.9942424,0.0001408524,0.003319444,0.00001111901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2325602,0.01217063,0.7457562,0.0009773612,0.0005392978,0.0005881123,0.0008919605,0.002446955,0.004069378],"genre_scores_gemma":[0.3009779,0.005881386,0.6848382,0.0007752816,0.0001635943,0.0006259768,0.001025064,0.0001663577,0.0055463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001287231,"threshold_uncertainty_score":0.003731847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200509614159134,"score_gpt":0.2271107046140442,"score_spread":0.2070597431981308,"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."}}