{"id":"W3157761351","doi":"10.61797/ijbca.v1i1.49","title":"Rapid Bispecific Antibodies Based Homogeneous Immunoassay for Detection of Prostate-Specific Antigen (PSA)","year":2021,"lang":"en","type":"article","venue":"International Journal of Biomedical and Clinical Analysis","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta; Department of Biotechnology, Ministry of Science and Technology, India; University of Alberta","keywords":"Immunoassay; Homogeneous; Glucose oxidase; Prostate-specific antigen; Chromatography; Chemistry; Antibody; Antigen; Detection limit; Prostatic disease; Peroxidase; Enzyme; Medicine; Prostate cancer; Immunology; Biochemistry; Internal medicine; Cancer","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":[0.001053448,0.0009541119,0.0004570915,0.001075776,0.0001392355,0.0004566464,0.0008913922,0.0008597485,0.001258509],"category_scores_gemma":[0.0008177606,0.0004120564,0.0006416946,0.0004763485,0.0003322617,0.0004471905,0.0005787023,0.001151507,0.001258185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570691,"about_ca_system_score_gemma":0.000529634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004423001,"about_ca_topic_score_gemma":0.0007176736,"domain_scores_codex":[0.9985379,0.0002936568,0.00007330568,0.0002661848,0.0007106268,0.0001183479],"domain_scores_gemma":[0.9994999,0.00009064809,0.00009221831,0.0000367167,0.0002290655,0.00005140736],"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":[0.00008753172,0.0001503676,0.000807243,0.0003651763,0.0000420739,0.0001011544,0.00003684596,0.0002295137,0.9722674,0.0004500529,0.0009357388,0.02452691],"study_design_scores_gemma":[0.0000370233,0.0005973112,0.003232181,0.00004958273,0.00005981428,0.0006414576,0.0000294083,0.004109042,0.976674,0.0002304658,0.01430269,0.00003698878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1899499,0.02417235,0.7715258,0.0006631475,0.0008236257,0.001339811,0.001069141,0.0026961,0.007760008],"genre_scores_gemma":[0.4492097,0.0139253,0.5125034,0.0009973028,0.0002226486,0.001828521,0.004076128,0.0001466158,0.01709032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001258509,"threshold_uncertainty_score":0.005571246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863638008460496,"score_gpt":0.3316837095814163,"score_spread":0.3130473294968114,"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."}}