{"id":"W2095455203","doi":"10.1016/j.str.2013.09.004","title":"Conformational Dynamics inside Amino-Terminal Disease Hotspot of Ryanodine Receptor","year":2013,"lang":"en","type":"article","venue":"Structure","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Ryanodine receptor; Terminal (telecommunication); Chemistry; Hotspot (geology); Amino terminal; Biophysics; Receptor; Biology; Biochemistry; Peptide sequence; Physics; Computer science; Gene; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001968591,0.0000849545,0.00006969961,0.0000342593,0.00003749595,0.00001172504,0.00006357016,0.00008641698,0.0006963974],"category_scores_gemma":[0.00003318265,0.00007340712,0.00004542984,0.00004553506,0.00005331513,0.000008064969,0.0000280936,0.00004532579,0.000013774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001217845,"about_ca_system_score_gemma":0.00004314819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008158653,"about_ca_topic_score_gemma":0.000005517583,"domain_scores_codex":[0.9995283,0.0000138566,0.0001449413,0.0001134547,0.0001086667,0.00009070461],"domain_scores_gemma":[0.9995637,0.000003088339,0.00007917097,0.0001367158,0.0001457464,0.00007158663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000687315,0.00009439244,0.02671499,0.0002529382,0.0001441744,0.000002315845,0.0002500135,0.002725856,0.8688301,0.008265649,0.05511508,0.03691717],"study_design_scores_gemma":[0.003223219,0.0005700596,0.6310213,0.00006595213,0.00007214143,0.00007299747,0.0005767552,0.04126703,0.2448559,0.00509714,0.07212096,0.001056593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974883,0.00003730662,0.0009803987,0.0002265937,0.00040362,0.0001272672,0.0001689033,0.00000759702,0.0005600129],"genre_scores_gemma":[0.9963329,0.000007933241,0.0003780315,0.0001737484,0.000287819,0.000005767945,0.0017841,0.000007667771,0.001021967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6239743,"threshold_uncertainty_score":0.7625063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004890812882194642,"score_gpt":0.21164715657035,"score_spread":0.2067563436881553,"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."}}