{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001456841,0.0001322208,0.0001303943,0.00004734931,0.00008924053,0.0000821544,0.00007130256,0.000200305,0.0000117692],"category_scores_gemma":[0.00007159478,0.0001249946,0.000079178,0.00006380206,0.00003190423,0.00009329749,0.00001273725,0.0001469221,0.00000374772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001848698,"about_ca_system_score_gemma":0.00002276557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000560527,"about_ca_topic_score_gemma":0.0000733453,"domain_scores_codex":[0.9994152,0.000005893859,0.0001497822,0.0001796327,0.00005473973,0.0001947055],"domain_scores_gemma":[0.9996533,0.00003156118,0.00003668574,0.0001708578,0.00004525386,0.00006229013],"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":[0.00007622127,0.00001228411,0.00009494511,0.0001154499,0.00004465065,2.119886e-7,0.00006853997,0.00002843653,0.9794184,0.0008242878,0.000395724,0.01892083],"study_design_scores_gemma":[0.001091183,0.00007564869,0.005526762,0.00002562311,0.00007153887,0.00001363151,0.00002625362,0.09416705,0.881728,0.005492783,0.01136921,0.0004123041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7481082,0.0001194398,0.2497151,0.0003103866,0.0003881505,0.001065751,0.00009129139,0.0001308021,0.00007083171],"genre_scores_gemma":[0.9549093,0.00005303944,0.04459481,0.00002189731,0.000168952,0.0000839668,0.00002515738,0.0000341308,0.0001087214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2068011,"threshold_uncertainty_score":0.5097132,"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."}}