{"id":"W2035146203","doi":"10.1016/s0021-9673(00)00745-7","title":"Applications of mass spectrometry to food proteins and peptides","year":2000,"lang":"en","type":"review","venue":"Journal of Chromatography A","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute; National Research Council Canada; McGill University","funders":"","keywords":"Chemistry; Mass spectrometry; Biomolecule; Protein mass spectrometry; Chromatography; Sample preparation in mass spectrometry; Electrospray ionization; Matrix-assisted laser desorption/ionization; Analytical Chemistry (journal); Desorption; Organic chemistry; Biochemistry; Adsorption","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002071964,0.0003827091,0.001657361,0.00133497,0.0000721547,0.00005357828,0.0006425412,0.0002888894,0.001048413],"category_scores_gemma":[0.00001697781,0.0003165838,0.0009997064,0.00182582,0.0001017026,0.00007179771,0.00005523678,0.0005712382,0.000004554377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000574093,"about_ca_system_score_gemma":0.0001492413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003114799,"about_ca_topic_score_gemma":8.914484e-7,"domain_scores_codex":[0.9977235,0.00002662153,0.001307547,0.0002913691,0.0003918578,0.0002591644],"domain_scores_gemma":[0.9975221,0.0001118752,0.001415186,0.0005768326,0.0001251594,0.0002488499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001626637,0.0005426149,0.00007031959,0.03134368,0.001307247,0.00001152113,0.00004777712,2.757686e-7,0.001785829,0.009014383,0.001332958,0.9545271],"study_design_scores_gemma":[0.0001258548,0.0002380516,0.000003873919,0.005490194,0.0006154678,0.0003806216,0.00001776657,1.947671e-7,0.001161905,0.003718469,0.987961,0.0002866217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001259772,0.9827268,0.002544417,0.00003593345,0.000009782924,0.0006452103,0.0002074833,0.00005094467,0.01365341],"genre_scores_gemma":[0.001180622,0.9595296,0.03857109,0.00000854622,0.0002443272,0.0003225351,0.00001253435,0.00005931199,0.00007142156],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.986628,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171186773321635,"score_gpt":0.2883725639081455,"score_spread":0.271253886575982,"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."}}