{"id":"W2965544134","doi":"10.1073/pnas.1903228116","title":"High-speed AFM reveals subsecond dynamics of cardiac thin filaments upon Ca <sup>2+</sup> activation and heavy meromyosin binding","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Vetenskapsrådet; Government of Canada; Cancer Research Institute, Kanazawa University; Linnéuniversitetet; Kanazawa University; Cancer Research Institute","keywords":"Heavy meromyosin; Tropomyosin; Myosin; Atomic force microscopy; Actin; Chemistry; Biophysics; Cardiac muscle; Electron microscope; Troponin C; Troponin; Nanotechnology; Materials science; Physics; Anatomy; Biochemistry; Optics; Biology","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":[0.00005407494,0.00009759257,0.00006437465,0.0001680889,0.0002240873,0.00012475,0.0001638425,0.0002641235,0.002611648],"category_scores_gemma":[0.0001379969,0.00008594294,0.00006566509,0.00009968381,0.0001283521,0.0001785597,0.00009672751,0.0004100875,0.0002200413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512059,"about_ca_system_score_gemma":0.00008005472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009693788,"about_ca_topic_score_gemma":0.002387974,"domain_scores_codex":[0.9999713,0.000001386677,0.000001018045,0.00000631545,0.00001086364,0.000009126996],"domain_scores_gemma":[0.9999132,0.00002286824,0.00001652827,0.000007550111,0.00001708537,0.00002278417],"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":[0.00004885766,0.00001363936,0.0005458206,0.00001703664,0.000003874282,0.0000831697,0.00003377069,0.00005527498,0.9967135,0.0001159295,0.0002240852,0.002145011],"study_design_scores_gemma":[0.00004558375,0.0002084525,0.2272449,0.00001833297,0.00003054071,0.001025168,0.0001969181,0.01623611,0.7496186,0.0004149508,0.004927499,0.00003287498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940011,0.0003634944,0.002713388,0.0001729618,0.00004433381,0.00000928434,0.000257276,0.00009882672,0.002339313],"genre_scores_gemma":[0.9960045,0.0001583604,0.002119959,0.00006269966,0.00002123959,0.00001355523,0.0002104997,0.0000136861,0.001395515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002611648,"threshold_uncertainty_score":0.008736789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461595810458376,"score_gpt":0.2837607097288201,"score_spread":0.2591447516242363,"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."}}