{"id":"W3093076199","doi":"10.71781/11260","title":"Optimization of High Field Asymmetric Waveform Ion Mobility Spectrometry to enhance the comprehensiveness of mass spectrometry-based proteomic analyses","year":2019,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Genome Canada","keywords":"Ion-mobility spectrometry; Mass spectrometry; Field (mathematics); Ion-mobility spectrometry–mass spectrometry; Chemistry; Analytical Chemistry (journal); Chromatography; Tandem mass spectrometry; Selected reaction monitoring; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153596,0.001007779,0.00041423,0.0007436508,0.0004174459,0.0009248697,0.0006859952,0.0007723619,0.001271719],"category_scores_gemma":[0.001406363,0.0002423705,0.000623978,0.0006720991,0.0003974699,0.0008473785,0.0005934233,0.0006765169,0.0006418678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004638804,"about_ca_system_score_gemma":0.001127201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401839,"about_ca_topic_score_gemma":0.002970674,"domain_scores_codex":[0.9992643,0.0001172063,0.0000428697,0.0001205685,0.0003831513,0.00007191535],"domain_scores_gemma":[0.9995226,0.000147414,0.00006955381,0.00003791516,0.0001890984,0.00003341763],"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":[0.0001688824,0.00006067725,0.000814393,0.0002813592,0.00003474884,0.00008625622,0.00006035752,0.001134952,0.9737882,0.0005475158,0.0003176227,0.02270501],"study_design_scores_gemma":[0.00003106137,0.0003477162,0.005134735,0.00002798939,0.00005280413,0.0003022408,0.0001059556,0.01510593,0.9671794,0.0005968483,0.01106528,0.000050139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6089578,0.007088067,0.3719473,0.0009282061,0.0003688394,0.0007854239,0.001233904,0.001756508,0.0069339],"genre_scores_gemma":[0.6356645,0.006224832,0.3498544,0.000444755,0.00008530678,0.0005742018,0.001511757,0.0003075064,0.005332779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00153596,"threshold_uncertainty_score":0.00812304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0068739612711263,"score_gpt":0.2280454834161951,"score_spread":0.2211715221450688,"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."}}