{"id":"W2122536494","doi":"10.1016/j.jala.2006.07.010","title":"An Automated High-Throughput Screening Enzyme Linked Immunosorbent Assay for Johne's Disease Antibodies in Bovine Serum","year":2006,"lang":"en","type":"article","venue":"JALA Journal of the Association for Laboratory Automation","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Computer science; Immunoassay; Computer hardware; Embedded system; Antibody; Medicine; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002652979,0.0001660905,0.0003961381,0.000272218,0.0002157135,0.0001317338,0.0001849379,0.0001524196,0.00001501144],"category_scores_gemma":[0.002935927,0.0001268663,0.0002185516,0.0004721654,0.00002233234,0.0007592684,0.00002454626,0.0002191009,0.000002814018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007438412,"about_ca_system_score_gemma":0.0004488288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003917798,"about_ca_topic_score_gemma":0.00003700397,"domain_scores_codex":[0.9976511,0.0003690743,0.0008081516,0.0001655503,0.0006661271,0.0003399934],"domain_scores_gemma":[0.9962986,0.0005708246,0.00119826,0.0002357071,0.001558935,0.0001376803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001915902,0.001129679,0.8988025,0.0004054545,0.0003534352,0.0000142079,0.0002601355,0.004213784,0.06064436,0.001202873,0.03002963,0.001028061],"study_design_scores_gemma":[0.003937344,0.0003808618,0.9487016,0.0002861074,0.000186488,0.000002014432,0.00005277774,0.03597786,0.006922856,0.0004981878,0.002924775,0.0001291867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894171,0.0002969474,0.002184817,0.006016539,0.0004678853,0.0009912545,0.0004710839,0.0001332928,0.00002102304],"genre_scores_gemma":[0.9953282,0.00004205314,0.00337107,0.0002618166,0.0005670816,0.00005719691,0.000196337,0.00003231793,0.0001438674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05372151,"threshold_uncertainty_score":0.5173456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009995369329649164,"score_gpt":0.2999390895413621,"score_spread":0.2899437202117129,"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."}}