{"id":"W2131303898","doi":"10.1002/jssc.200900185","title":"Separation and determination of closely related lantibiotics by micellar electrokinetic chromatography","year":2009,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Lantibiotics; Chromatography; Nisin; Chemistry; Micellar electrokinetic chromatography; Detection limit; Electrokinetic phenomena; Phosphate buffered saline; Antimicrobial; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0004797807,0.00005904881,0.0001247982,0.00007490152,0.0001229526,0.00006345787,0.0001154268,0.00003759643,0.00002617033],"category_scores_gemma":[0.00004385336,0.00002706714,0.00005058882,0.0008445774,0.000105309,0.0004151918,0.000004779372,0.00005683177,0.000001501159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001447669,"about_ca_system_score_gemma":0.00001463011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003015871,"about_ca_topic_score_gemma":0.000004979632,"domain_scores_codex":[0.9990252,0.00004763111,0.000377129,0.0001042594,0.0003525325,0.00009319495],"domain_scores_gemma":[0.9991649,0.00004484528,0.000432978,0.00002481382,0.000272854,0.00005963751],"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":[0.00001361033,0.00003838425,0.00121818,0.000001076767,0.000002671266,6.124484e-7,0.0001341903,0.00001867524,0.992256,0.0001698461,0.0001184768,0.006028217],"study_design_scores_gemma":[0.0003458375,0.00156315,0.3103612,0.00002748473,0.00006205861,0.00008833729,0.0003681821,0.007949498,0.6771328,0.001170986,0.0007670859,0.0001633291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985463,0.0001216628,0.0002456635,0.0005749897,0.00003206248,0.00004968799,0.000002120951,0.000004916731,0.0004225989],"genre_scores_gemma":[0.9993006,0.0001482367,0.0003724582,0.00009251607,0.00001839042,7.272211e-8,0.000005659387,2.266047e-7,0.00006184704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3151233,"threshold_uncertainty_score":0.1103766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089449455240184,"score_gpt":0.2755885317835186,"score_spread":0.2666435862595001,"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."}}