{"id":"W4388845961","doi":"10.17148/iarjset.2023.101105","title":"REVIEW ARTICLE ELISA: THE IMMUNOLOGICAL DIGNOSTIC TOOL","year":2023,"lang":"en","type":"article","venue":"IARJSET","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Computational biology; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008107031,0.0001220536,0.0002301438,0.00002495978,0.0001816847,0.00001555244,0.0003012961,0.0001619547,0.001863923],"category_scores_gemma":[0.001054527,0.0000634243,0.0001289807,0.000428259,0.0002978078,0.00003310341,0.0001629154,0.0003173205,0.005406506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001121189,"about_ca_system_score_gemma":0.00001698612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000667064,"about_ca_topic_score_gemma":0.000001984281,"domain_scores_codex":[0.9987878,0.0003404595,0.0002501793,0.0002164698,0.00003328485,0.0003717782],"domain_scores_gemma":[0.9988465,0.0006786188,0.00004523624,0.0003770753,0.00003751902,0.0000150066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005356205,0.0001111163,0.001109412,0.000126308,0.000219936,0.00002545006,0.00007086306,8.625247e-7,0.07276448,0.006572699,0.838787,0.08015834],"study_design_scores_gemma":[0.0003661252,0.0001054538,0.02748263,0.0002504644,0.0001327426,0.0000571877,0.00004826565,0.0000145528,0.009239718,0.003892735,0.9582103,0.0001998268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3417585,0.4802358,0.0005918359,0.1512213,0.004559516,0.002434317,0.000384107,0.001755695,0.01705884],"genre_scores_gemma":[0.8882126,0.05774979,0.0003680173,0.03910106,0.0001789903,0.0001655599,0.000157256,0.00004006206,0.01402666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5464541,"threshold_uncertainty_score":0.9990485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405479057563873,"score_gpt":0.3236907426710335,"score_spread":0.2831428369146463,"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."}}