{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291458,0.000861395,0.0007296302,0.001298858,0.0004098129,0.0007707855,0.0009126629,0.0007056285,0.001075726],"category_scores_gemma":[0.0007289057,0.0004702577,0.0005916387,0.0006643736,0.0002269023,0.0003606457,0.0006852454,0.0004907301,0.001093223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154162,"about_ca_system_score_gemma":0.0004506039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008079823,"about_ca_topic_score_gemma":0.001550522,"domain_scores_codex":[0.9974793,0.0005881488,0.0001792648,0.0003431784,0.001271336,0.0001387049],"domain_scores_gemma":[0.9994569,0.0001390804,0.00007012488,0.00009015383,0.0001968035,0.00004686477],"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":[0.0002238673,0.0005369533,0.002915264,0.0001405016,0.00003477183,0.00006779093,0.00004727612,0.0003515161,0.9769486,0.0001201352,0.0004322393,0.01818112],"study_design_scores_gemma":[0.0002356745,0.00536967,0.0493632,0.00007294773,0.0001513337,0.001334556,0.00008353263,0.03040325,0.8983497,0.0002111167,0.01433114,0.00009381156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6382958,0.001623471,0.343054,0.0001701609,0.0002401984,0.003294429,0.002563603,0.003309941,0.007448358],"genre_scores_gemma":[0.581877,0.001529219,0.3963015,0.00023359,0.0001463969,0.003637272,0.006843379,0.0001097624,0.009321939],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001298858,"threshold_uncertainty_score":0.006829917,"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."}}