{"id":"W2066390512","doi":"10.1021/pr300755p","title":"Comprehensive Proteomics Approach in Characterizing and Quantifying Allergenic Proteins from Northern Shrimp: Toward Better Occupational Asthma Prevention","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Occupational exposure and asthma","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Memorial University of Newfoundland; Mount Sinai Hospital","funders":"","keywords":"Arginine kinase; Shrimp; Tropomyosin; Tandem mass spectrometry; Proteomics; Allergen; Arginine; Chemistry; Biochemistry; Biology; Chromatography; Allergy; Mass spectrometry; Immunology; Fishery; Amino acid; Gene; Actin","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":[0.0003147949,0.0004307798,0.0003708448,0.0003160197,0.0002389872,0.0003288817,0.0002429024,0.0004899157,0.0003766397],"category_scores_gemma":[0.0001922676,0.0001637427,0.0002561602,0.0002897409,0.0001769083,0.0003920201,0.0003170067,0.0004621912,0.0002029842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678132,"about_ca_system_score_gemma":0.0002406282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139698,"about_ca_topic_score_gemma":0.0007000437,"domain_scores_codex":[0.9998621,0.00002229666,0.000007617651,0.00005223095,0.0000442789,0.00001149473],"domain_scores_gemma":[0.9999168,0.00001442983,0.00002193325,0.000008825642,0.00002385245,0.00001411706],"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":[0.00002344495,0.00001416313,0.0007631232,0.00005199962,0.000005881866,0.00003358914,0.00001309619,0.00006027288,0.995729,0.00001965405,0.00001916569,0.0032664],"study_design_scores_gemma":[0.00001476952,0.0005691345,0.07108267,0.00003763405,0.0001157585,0.002022578,0.000197403,0.006791679,0.914012,0.0004576158,0.004671424,0.00002737901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410829,0.006275875,0.05058796,0.0002476729,0.00003694912,0.00009500407,0.0005241187,0.0001514658,0.0009980616],"genre_scores_gemma":[0.9134597,0.005764216,0.07791341,0.000206433,0.00003236718,0.00007550547,0.0006820714,0.00002131357,0.00184495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004899157,"threshold_uncertainty_score":0.001664877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2130519094790425,"score_gpt":0.4148090117728054,"score_spread":0.201757102293763,"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."}}