{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007278254,0.0001208428,0.0004393088,0.0002568694,0.00004845138,0.00003161627,0.0001974922,0.0001706859,0.00001342237],"category_scores_gemma":[0.0004057051,0.00009062321,0.000842956,0.0003441387,0.000325658,0.000007140153,0.00006618581,0.0001158188,2.635407e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001261437,"about_ca_system_score_gemma":0.00008434632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004061174,"about_ca_topic_score_gemma":0.00001582098,"domain_scores_codex":[0.9981569,0.0001128834,0.0009717858,0.0002644891,0.000370821,0.0001231002],"domain_scores_gemma":[0.9978093,0.0001427564,0.0005706373,0.00016179,0.001209705,0.0001057941],"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":[0.0008128252,0.0005257154,0.006185345,0.00001032932,0.004132368,0.00004271352,0.000007555682,0.00001265198,0.7950388,0.000008297627,0.0003086366,0.1929148],"study_design_scores_gemma":[0.001552514,0.00147847,0.01411309,0.0000598365,0.001010516,0.00007238494,0.0001260444,0.001302772,0.878857,0.0002351344,0.1009587,0.0002334725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961592,0.002890593,0.09912322,0.00130502,0.0003321476,0.00005454435,0.0001114778,0.000006391028,0.0000174464],"genre_scores_gemma":[0.9826498,0.009075187,0.007467799,0.0001281727,0.0004391258,0.000001130972,0.0001771861,0.000007698692,0.00005388601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926813,"threshold_uncertainty_score":0.3695507,"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."}}