{"id":"W2145896572","doi":"10.1002/jms.1721","title":"Characterization and <i>de novo</i> sequencing of snow crab tropomyosin enzymatic peptides by both electrospary ionization and matrix‐assisted laser desorption ionization QqToF tandem mass spectrometry","year":2010,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chemistry; Electrospray ionization; Mass spectrometry; Chromatography; Tandem mass spectrometry; Matrix-assisted laser desorption/ionization; Protein mass spectrometry; Peptide; Allergen; Tropomyosin; Ionization; Biochemistry; Desorption; Ion; Allergy; Organic chemistry; Actin","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008045738,0.0004043162,0.0006983934,0.0007968127,0.0002293888,0.0002183355,0.000313508,0.0003935605,0.0009216625],"category_scores_gemma":[0.0003481761,0.0004022334,0.0001534402,0.001477676,0.0001631695,0.0006222286,0.00005208558,0.0009220139,0.000001801899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005086751,"about_ca_system_score_gemma":0.0001797957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001337159,"about_ca_topic_score_gemma":0.000006637651,"domain_scores_codex":[0.9971499,0.00008482199,0.001198896,0.0004256697,0.0006450068,0.0004956932],"domain_scores_gemma":[0.9971194,0.000215835,0.001675675,0.0003890417,0.0003429576,0.0002571445],"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":[0.0000666296,0.0001697327,0.02110014,0.0002259361,0.00009520502,0.000009492837,0.00006780042,0.000006662127,0.9747208,0.002681582,0.0001305451,0.0007254786],"study_design_scores_gemma":[0.001133964,0.000314246,0.01189485,0.0002076626,0.0002277043,0.0008767214,0.0001969746,0.001462989,0.9787098,0.004263119,0.0002865898,0.000425335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146225,0.0003121096,0.1837044,0.0004035905,0.00007161871,0.0001830376,0.00005624854,0.00008922557,0.000557328],"genre_scores_gemma":[0.9318771,0.001345776,0.06572682,0.00005792675,0.0003555411,0.00001422244,0.0001507626,0.00007759658,0.0003942171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1179775,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007218102489308818,"score_gpt":0.235473856605641,"score_spread":0.2282557541163321,"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."}}