{"id":"W2059498588","doi":"10.1039/c2cp43296j","title":"Chirality recognition of the protonated serine dimer and octamer by infrared multiphoton dissociation spectroscopy","year":2012,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Canada Research Chairs; Government of Canada; Killam Trusts; Western Canada Research Grid","keywords":"Infrared multiphoton dissociation; Conformational isomerism; Chemistry; Dissociation (chemistry); Dimer; Histone octamer; Protonation; Infrared spectroscopy; Chirality (physics); Crystallography; Spectroscopy; Photochemistry; Stereochemistry; Molecule; Physical chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001038107,0.0002274386,0.0002045781,0.0001304275,0.000169552,0.0002112543,0.0003295687,0.0002099828,0.001000346],"category_scores_gemma":[0.000247933,0.000108029,0.0001419492,0.0001948847,0.0001742907,0.0002281416,0.0002238174,0.0003378828,0.0002295638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365634,"about_ca_system_score_gemma":0.00009683955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003009834,"about_ca_topic_score_gemma":0.0003804871,"domain_scores_codex":[0.9998916,0.00001567768,0.000004643809,0.00003100995,0.00004028808,0.00001671971],"domain_scores_gemma":[0.9999323,0.00001550128,0.00002146417,0.000007735277,0.00001209226,0.00001091752],"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":[0.0001214032,0.00002127876,0.0009551961,0.00009196102,0.00001324184,0.0001235221,0.00007145006,0.001239352,0.9904282,0.000505949,0.0001155935,0.006312937],"study_design_scores_gemma":[0.00001553151,0.0002184743,0.003537577,0.000007284575,0.00001292335,0.0003849105,0.0001128149,0.01496693,0.9781501,0.0003199535,0.002255089,0.00001850637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903327,0.0005545705,0.006716043,0.00003030297,0.0000105359,0.000008516036,0.0001349463,0.00003445323,0.002178053],"genre_scores_gemma":[0.9922081,0.0003690854,0.006432788,0.00001954485,0.000003078156,0.000008542951,0.0002253834,0.00001700909,0.0007165971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001000346,"threshold_uncertainty_score":0.003346503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084200400291887,"score_gpt":0.2555205350578854,"score_spread":0.2446785310549665,"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."}}