{"id":"W2114091914","doi":"10.1161/circgenetics.111.959528","title":"Multiple Reaction Monitoring (MRM)","year":2012,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Selected reaction monitoring; Medicine; Computational biology; Computer science; Biology; Chemistry; Chromatography; Mass spectrometry; Tandem mass spectrometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002267224,0.0001394717,0.0001753062,0.0000627675,0.0001393329,0.0000290865,0.0001144981,0.000143933,0.0002117466],"category_scores_gemma":[0.00003676548,0.0001613614,0.0003808697,0.0002105873,0.00002117191,0.0001020873,0.00003881559,0.0001408754,0.00005190987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457471,"about_ca_system_score_gemma":0.00001274206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001879237,"about_ca_topic_score_gemma":2.426419e-7,"domain_scores_codex":[0.9989051,0.00001887598,0.0002101369,0.0002245574,0.0003519192,0.0002894578],"domain_scores_gemma":[0.9989512,0.00002736783,0.00006479321,0.0007573703,0.00007731692,0.0001219441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003201382,0.0001113014,0.5730929,0.00008221812,0.0004876777,0.000001145411,0.0001290206,0.002163163,0.3193352,0.001012694,0.00007146259,0.1035101],"study_design_scores_gemma":[0.0004793563,0.000005039664,0.2556351,0.00002666847,0.0003423881,0.00005901203,0.0001334537,0.002115347,0.3839025,0.0003755597,0.3564015,0.0005240621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308478,0.008847161,0.0279441,0.00002134592,0.0003045172,0.0002005904,0.00001087458,0.0004855879,0.03133806],"genre_scores_gemma":[0.9930243,0.0003534538,0.004874425,0.000005442618,0.001499189,0.00008227424,0.00004520281,0.00003725981,0.00007847318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3563301,"threshold_uncertainty_score":0.6580127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880571487328423,"score_gpt":0.2554133890872541,"score_spread":0.2266076742139699,"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."}}