{"id":"W3042332451","doi":"10.3390/biomedicines8070224","title":"HDX-MS: An Analytical Tool to Capture Protein Motion in Action","year":2020,"lang":"en","type":"review","venue":"Biomedicines","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Action (physics); Motion capture; Motion (physics); Computer science; Artificial intelligence; 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":[0.0007729222,0.00143233,0.001377717,0.003598294,0.0003481665,0.001192274,0.001300305,0.001290873,0.005216606],"category_scores_gemma":[0.0004775795,0.0005728597,0.0005798891,0.002105609,0.0005950726,0.001702467,0.001121076,0.002337121,0.006889018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006913349,"about_ca_system_score_gemma":0.0006609304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007484935,"about_ca_topic_score_gemma":0.001081027,"domain_scores_codex":[0.9996927,0.00003133402,0.00001525571,0.00006276808,0.0001662083,0.00003175161],"domain_scores_gemma":[0.9998143,0.00006285935,0.00002880294,0.00001056949,0.00006043084,0.00002304686],"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":[0.0001041696,0.0001332017,0.0002342675,0.01403375,0.0001809009,0.0002491908,0.00006281698,0.0007968078,0.03132374,0.01208294,0.04951931,0.891279],"study_design_scores_gemma":[0.0000112741,0.00007737357,0.0002716175,0.000465141,0.00005784025,0.00056065,0.00001751011,0.0003000686,0.008365543,0.001522291,0.9883216,0.00002913682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006135869,0.9879814,0.003594605,0.0003833304,0.000481646,0.00003467713,0.0001574536,0.0001404188,0.006612926],"genre_scores_gemma":[0.003249328,0.9872265,0.002929283,0.0004147346,0.0002678397,0.00005579883,0.000270174,0.00002544413,0.005560867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005216606,"threshold_uncertainty_score":0.01745129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06304354897803895,"score_gpt":0.3784073142767276,"score_spread":0.3153637652986886,"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."}}