{"id":"W2072005701","doi":"10.1007/s002530000560","title":"Production and characterization of anti-nisin Z monoclonal antibodies: suitability for distinguishing active from inactive forms through a competitive enzyme immunoassay","year":2001,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Dairy Farmers of Canada; Howard Hughes Medical Institute","keywords":"Nisin; Monoclonal antibody; Lactococcus lactis; Immunoassay; Chemistry; Keyhole limpet hemocyanin; Bacteriocin; Biochemistry; Residue (chemistry); Chromatography; Biology; Bacteria; Antibody; Microbiology; Antimicrobial","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":[0.0001383575,0.000167592,0.0003323927,0.00002116887,0.0002280382,0.00001384649,0.0001132584,0.0004440676,0.00001107446],"category_scores_gemma":[0.00006514865,0.00008222211,0.00003596904,0.0001493614,0.000626068,0.00009144332,0.0001386686,0.0001808982,6.731223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002306897,"about_ca_system_score_gemma":0.000006616878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008712191,"about_ca_topic_score_gemma":0.0001491761,"domain_scores_codex":[0.9989984,0.00002960736,0.0002365567,0.000468066,0.0000218364,0.0002455041],"domain_scores_gemma":[0.9994904,0.00014335,0.000209955,0.00006605814,0.00007136404,0.00001884528],"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":[0.000277862,0.0001027369,0.002442801,0.000009466934,0.00005899766,4.492323e-7,0.0001980042,5.961124e-8,0.975419,0.01053008,0.00000239827,0.01095814],"study_design_scores_gemma":[0.0002770954,0.0003480642,0.07288937,0.00002558667,0.00002933386,0.0000264331,0.001030716,0.000006267235,0.9177849,0.005038534,0.002362089,0.0001816634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967229,0.0001009044,0.0002642868,0.001449458,0.00008715655,0.0005604043,0.0006622266,0.00004525445,0.0001073746],"genre_scores_gemma":[0.99809,0.0004569053,0.0004409866,0.00007286078,0.00005605883,0.00002449283,0.0008500795,0.000001669658,0.00000698842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07044656,"threshold_uncertainty_score":0.3425056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187908822725258,"score_gpt":0.214734565305493,"score_spread":0.2028554770782404,"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."}}