{"id":"W2034852243","doi":"10.1021/jf052464s","title":"Development of a Liquid Chromatography−Tandem Mass Spectrometry Method Using Capillary Liquid Chromatography and Nanoelectrospray Ionization−Quadrupole Time-of-Flight Hybrid Mass Spectrometer for the Detection of Milk Allergens","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Health Canada","funders":"","keywords":"Chromatography; Quadrupole time of flight; Chemistry; Mass spectrometry; Tandem mass spectrometry; Capillary action; Quadrupole mass analyzer; Tandem; Liquid chromatography–mass spectrometry; Analytical Chemistry (journal); Quadrupole; Triple quadrupole mass spectrometer; Ionization; Selected reaction monitoring; Materials science; Ion","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":[0.0003527743,0.0002250089,0.0005644458,0.0001781191,0.00016243,0.00001754907,0.0001270559,0.000124957,0.00002919418],"category_scores_gemma":[0.00003335592,0.000129542,0.0003173977,0.0005977659,0.0001362952,0.00009482543,0.00003313487,0.0002334118,8.160865e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004420322,"about_ca_system_score_gemma":0.0001006236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005749012,"about_ca_topic_score_gemma":0.000003683596,"domain_scores_codex":[0.9982564,0.00003363263,0.0007863977,0.0001950441,0.0004531856,0.0002752787],"domain_scores_gemma":[0.99853,0.0001064653,0.0006556542,0.0001141535,0.000478794,0.0001149318],"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":[0.0004682962,0.0001301711,0.0001665415,0.0004489296,0.0008615222,0.000002792885,0.0001042592,0.00001385463,0.9975935,0.000007809082,0.00004971668,0.0001525879],"study_design_scores_gemma":[0.001071744,0.002019496,0.006891678,0.0002327259,0.0001127301,0.0005846253,0.0003404308,0.00006611113,0.9881846,0.00004323007,0.0002972422,0.0001554399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869089,0.007735192,0.004859806,0.0001636022,0.000037289,0.0001900763,0.00001231705,0.000008016666,0.00008478571],"genre_scores_gemma":[0.9736351,0.0007095781,0.0253618,0.000007234174,0.0002117408,0.000004209075,0.00001462493,0.00001448495,0.00004120928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.020502,"threshold_uncertainty_score":0.5282569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016778929460769,"score_gpt":0.2388446850982433,"score_spread":0.2286768958036356,"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."}}