{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005269391,0.004165411,0.001609342,0.003574077,0.001481763,0.001424971,0.002477351,0.004485961,0.005315532],"category_scores_gemma":[0.00571226,0.001173415,0.0008789398,0.002895331,0.001568383,0.001861941,0.002247478,0.003526931,0.003980456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007976555,"about_ca_system_score_gemma":0.001423758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008624278,"about_ca_topic_score_gemma":0.001431723,"domain_scores_codex":[0.9884911,0.002862016,0.0003120397,0.004075694,0.003745936,0.0005132497],"domain_scores_gemma":[0.996077,0.001298297,0.00127746,0.00047934,0.000680147,0.0001877162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00174675,0.0004405619,0.008913607,0.002248196,0.0007799981,0.0007506242,0.0004307883,0.001110671,0.7726896,0.007683247,0.01713095,0.186075],"study_design_scores_gemma":[0.0001233755,0.001348739,0.007508263,0.0002344084,0.0002804679,0.003347869,0.0001550483,0.02190573,0.9003854,0.003453603,0.06097741,0.0002797246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.10754,0.03551169,0.7946287,0.00258757,0.003626896,0.001118857,0.004745508,0.02012119,0.0301195],"genre_scores_gemma":[0.4493417,0.01333873,0.4951514,0.007427299,0.001597793,0.001996731,0.001988819,0.001375867,0.02778163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005315532,"threshold_uncertainty_score":0.02786756,"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."}}