{"id":"W1981984099","doi":"10.1255/ejms.572","title":"Characterisation of the Intact Rainbow Trout Vitellogenin Protein and Analysis of its Derived Tryptic and Cyanogen Bromide Peptides by Matrix-Assisted Laser Desorption/Ionisation Time-of-Flight-Mass Spectrometry and Electrospray Ionisation Quadrupole/Time-of-Flight Mass Spectrometry","year":2003,"lang":"en","type":"article","venue":"European Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Caprion (Canada); Memorial University of Newfoundland","funders":"","keywords":"Cyanogen bromide; Chemistry; Vitellogenin; Mass spectrometry; Chromatography; Rainbow trout; Electrospray; Protein mass spectrometry; Matrix gla protein; Matrix-assisted laser desorption/ionization; Electrospray ionization; Biochemistry; Peptide sequence; Desorption; Biology","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":[0.0001978027,0.0004311962,0.0002615836,0.0003660866,0.0002330398,0.0002515914,0.0002393167,0.0002769484,0.0005752317],"category_scores_gemma":[0.0002978568,0.0001229792,0.0002456412,0.0002519437,0.0004045769,0.0002929689,0.000198965,0.000462634,0.0003225813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466927,"about_ca_system_score_gemma":0.0004571697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002693992,"about_ca_topic_score_gemma":0.003238165,"domain_scores_codex":[0.9998926,0.000006901205,0.000006554525,0.00003109435,0.00004125811,0.000021587],"domain_scores_gemma":[0.9998401,0.00002258797,0.00003556658,0.00001204625,0.00004424366,0.00004544413],"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":[0.00003428612,0.000005287504,0.000302844,0.0000138033,0.000002537224,0.00004109413,0.00001598201,0.00003329152,0.9989986,0.00002572029,0.000009168071,0.0005174078],"study_design_scores_gemma":[0.00004135376,0.0007746033,0.09473853,0.00002023039,0.00005065884,0.001363015,0.0001795789,0.002433482,0.8944945,0.0002462647,0.005632243,0.00002552262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909937,0.001504673,0.005664504,0.0001124229,0.00001732337,0.00004206375,0.0009678862,0.00004776727,0.0006496535],"genre_scores_gemma":[0.9679193,0.001576167,0.02014759,0.0001502239,0.00002535839,0.00006712193,0.005388995,0.00006428134,0.004661001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002693992,"threshold_uncertainty_score":0.005356669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008443769323502355,"score_gpt":0.2242846621358102,"score_spread":0.2158408928123079,"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."}}