{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002538955,0.00150492,0.001297873,0.002514591,0.0007485992,0.0009049834,0.001541412,0.001929541,0.002157498],"category_scores_gemma":[0.001834618,0.0009117011,0.0006380636,0.0009348339,0.0006255768,0.001081102,0.001094663,0.001611403,0.002257546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731232,"about_ca_system_score_gemma":0.001935236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235864,"about_ca_topic_score_gemma":0.003297623,"domain_scores_codex":[0.9966491,0.0004724655,0.0002314561,0.0007759263,0.001714595,0.0001564875],"domain_scores_gemma":[0.9989108,0.0002481242,0.00009797954,0.00007862568,0.0005582922,0.0001062769],"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":[0.00006419657,0.0001538005,0.0005226842,0.000258165,0.00005025778,0.0001780767,0.00003765107,0.000190527,0.9644809,0.0006179783,0.0005715116,0.03287441],"study_design_scores_gemma":[0.00008005757,0.0007490186,0.005589037,0.00008554003,0.0001355136,0.002847059,0.00006288491,0.01553072,0.9465603,0.000646039,0.02755668,0.0001571543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04939917,0.006113383,0.9330884,0.000492369,0.0005329428,0.001625462,0.0008833379,0.003551839,0.004313262],"genre_scores_gemma":[0.08210741,0.004250241,0.89973,0.001164376,0.0001101313,0.002494549,0.001658769,0.000222616,0.00826206],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002538955,"threshold_uncertainty_score":0.01342744,"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."}}