{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009126807,0.0009156752,0.001489495,0.000818523,0.000274935,0.000582576,0.001645593,0.001472905,0.002234929],"category_scores_gemma":[0.0009536317,0.0005619518,0.0007652905,0.0004175838,0.0002973934,0.000652089,0.0009248463,0.0008094034,0.001887964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005572184,"about_ca_system_score_gemma":0.0005209374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005302267,"about_ca_topic_score_gemma":0.00109693,"domain_scores_codex":[0.9978059,0.0002128536,0.00009433826,0.0009490727,0.0007286601,0.0002091815],"domain_scores_gemma":[0.9991021,0.0001971126,0.00009746016,0.0001852037,0.0002874513,0.0001308348],"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":[0.0001441275,0.0001050257,0.0003260865,0.00009979298,0.00002430554,0.00003787498,0.00002666419,0.0004256459,0.9887148,0.0001966528,0.0003227907,0.009576195],"study_design_scores_gemma":[0.00002347236,0.0004205213,0.002000611,0.000009154222,0.0000275755,0.000319272,0.00001993449,0.01297881,0.981126,0.0001450321,0.002892276,0.00003718291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4732403,0.002465988,0.5114836,0.0002268114,0.0004347726,0.0006612057,0.002015711,0.004381067,0.005090543],"genre_scores_gemma":[0.3946923,0.001058052,0.5825626,0.0003933807,0.00010764,0.001613387,0.002761942,0.0002797431,0.01653096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002234929,"threshold_uncertainty_score":0.007476628,"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."}}