{"id":"W1814220024","doi":"10.1039/c5lc01045d","title":"Single chip SPR and fluorescent ELISA assay of prostate specific antigen","year":2015,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université de Montréal; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Research Council Canada; Canada Foundation for Innovation","keywords":"Fluorescence; Prostate-specific antigen; Antigen; Chemistry; Chip; Molecular biology; Prostate cancer; Virology; Chromatography; Biology; Immunology; Computer science; Cancer; Physics; Genetics","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":[0.0002336313,0.0001378778,0.0001644706,0.00004555887,0.00003103285,0.00001775652,0.00008455467,0.00009466169,0.000001179332],"category_scores_gemma":[0.00006163583,0.0001099568,0.00005440585,0.00009137911,0.0001082623,0.000002618207,0.00006560852,0.0000660443,0.000002674598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001214757,"about_ca_system_score_gemma":0.00002151157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008953526,"about_ca_topic_score_gemma":0.00001130661,"domain_scores_codex":[0.999164,0.000059573,0.0001734784,0.0002913865,0.0001428455,0.0001687495],"domain_scores_gemma":[0.9994243,0.000006812735,0.0000962894,0.000296239,0.00008546915,0.00009093348],"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":[0.0001774472,0.0001244014,0.003011267,0.000009088007,0.00002724426,0.000003910318,0.00004709132,0.000001769146,0.9846913,0.0001050967,0.001673124,0.01012825],"study_design_scores_gemma":[0.0003277945,0.0005353001,0.002127498,0.00002887483,0.000009340763,0.000006255871,0.00004512226,0.0000125527,0.9523687,0.000157735,0.04423628,0.0001445062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967808,0.0005874339,0.0001423059,0.0001620366,0.00004966746,0.0001285902,0.00002429428,0.00002774173,0.002097108],"genre_scores_gemma":[0.9950991,0.000309472,0.003881127,0.0001614678,0.0001160924,0.000002154348,0.00007017332,0.00001592588,0.0003444781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04256315,"threshold_uncertainty_score":0.4483909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045097571566899,"score_gpt":0.2606619929715622,"score_spread":0.2402110172558932,"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."}}