{"id":"W4239510309","doi":"10.1016/j.bpj.2011.11.1680","title":"Conformational Dynamics Inside Amino-Terminal Disease Hotspot of Ryanodine Receptor","year":2012,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Ryanodine receptor; Hotspot (geology); Terminal (telecommunication); Biophysics; Chemistry; Receptor; Computational biology; Biology; Biochemistry; Physics; Computer science; Telecommunications","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":[0.0001131513,0.0002040609,0.0002144556,0.00009277309,0.0003381537,0.0002206642,0.0003020773,0.0002971024,0.002188303],"category_scores_gemma":[0.0002512186,0.0001258507,0.0001976349,0.0001038325,0.0002744554,0.0004452239,0.0001704107,0.0005352583,0.0003859547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674734,"about_ca_system_score_gemma":0.0001202921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241603,"about_ca_topic_score_gemma":0.000678625,"domain_scores_codex":[0.9999257,0.00001007716,0.000004992095,0.00002274277,0.00001351272,0.00002300318],"domain_scores_gemma":[0.9998809,0.00003120613,0.00002869097,0.00001129364,0.00001479105,0.00003312593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001462868,0.00010441,0.003476874,0.00008055365,0.00005271413,0.001610791,0.0002609844,0.002609191,0.9839352,0.001447742,0.001003426,0.00395528],"study_design_scores_gemma":[0.0002642516,0.0007324275,0.06566881,0.00004620334,0.0001451333,0.003785264,0.000593161,0.06087707,0.8598654,0.002269867,0.005608745,0.0001435718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981822,0.0001546357,0.0008693782,0.0001074432,0.00002334531,0.000003548365,0.0000879063,0.00002181422,0.0005497559],"genre_scores_gemma":[0.9988379,0.00007421301,0.0002473758,0.00004239982,0.00000778838,0.000004566033,0.0001724093,0.000007990369,0.0006053229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188303,"threshold_uncertainty_score":0.007320583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213971491166854,"score_gpt":0.2468319218294247,"score_spread":0.2346922069177561,"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."}}