{"id":"W4387087671","doi":"10.1085/jgp.202313393","title":"Dependence of myosin filament structure on intracellular calcium concentration in skeletal muscle","year":2023,"lang":"en","type":"article","venue":"The Journal of General Physiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environmental Studies Research Funds; Fondazione Cassa di Risparmio di Firenze; Università degli Studi di Firenze; Ministero dell’Istruzione, dell’Università e della Ricerca; Fondazione Telethon; Wellcome Trust; British Heart Foundation; European Synchrotron Radiation Facility; Medical Research Council; Royal Society","keywords":"Myosin; Myosin head; Biophysics; Protein filament; Actin; Calcium; Chemistry; Isometric exercise; Muscle contraction; Skeletal muscle; Intracellular; Calcium in biology; Myosin light-chain kinase; Biochemistry; Anatomy; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002877784,0.00008297931,0.000318427,0.00006217173,0.00003359385,0.000001746616,0.00008148749,0.00005214015,0.00002453378],"category_scores_gemma":[0.0000525855,0.00004960434,0.00009058786,0.0001663601,0.0001057844,0.00002823531,0.00003381662,0.0002345668,0.000003492806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004058912,"about_ca_system_score_gemma":0.00005172059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002912562,"about_ca_topic_score_gemma":0.000006750201,"domain_scores_codex":[0.9991547,0.0001424816,0.0003021858,0.00007089242,0.0001783926,0.000151388],"domain_scores_gemma":[0.9994921,0.00008317888,0.0001854014,0.0001207614,0.00008696961,0.00003158525],"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":[0.0002603784,0.00003497774,0.0001959974,0.00002098692,0.00005608182,0.00003192452,0.0006279369,0.003907858,0.9915584,0.0001571026,0.001244359,0.001903987],"study_design_scores_gemma":[0.002073695,0.001660859,0.6153088,0.0001414073,0.0001543434,0.0001688784,0.0007989359,0.0007479694,0.3761112,0.001567974,0.001151601,0.0001143127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981243,0.0005452309,0.00002848646,0.0007640696,0.0003513751,0.0001063855,0.000006589581,0.000004445339,0.00006912839],"genre_scores_gemma":[0.9988302,0.0004216625,0.00004863456,0.0002068326,0.0004163147,8.535248e-7,0.000005622023,0.000005863074,0.00006400412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6154472,"threshold_uncertainty_score":0.2022806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073686967328365,"score_gpt":0.2855497092044157,"score_spread":0.2648128395311321,"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."}}