{"id":"W4300686975","doi":"","title":"AFM Meets Magnetic Tweezers to Probe Protein Dynamics under A WideRange of Forces","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Magnetic tweezers; Atomic force microscopy; Nanotechnology; Dynamics (music); Optical tweezers; Tweezers; Materials science; Chemistry; Biophysics; Physics; Optics; Biology; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001571452,0.000359427,0.0004023647,0.0001129323,0.0001150337,0.0001476018,0.0008149056,0.0003962219,0.0002081606],"category_scores_gemma":[0.0007807137,0.0003921192,0.0002196016,0.0002401864,0.0001916436,0.00000550014,0.001244584,0.000302079,0.000007482187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005205098,"about_ca_system_score_gemma":0.0004066488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090161,"about_ca_topic_score_gemma":0.004293189,"domain_scores_codex":[0.9958907,0.002051902,0.0004657991,0.0008491599,0.0003387693,0.0004036325],"domain_scores_gemma":[0.9963726,0.0001461876,0.0002957673,0.001730255,0.001254121,0.0002010747],"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":[0.00006453734,0.0006040561,0.0004523955,0.0008424938,0.000140264,0.000006836246,0.002041471,0.0001442102,0.9454986,0.01130447,0.001184706,0.03771591],"study_design_scores_gemma":[0.001078673,0.00003148256,0.00260947,0.002474986,0.0001414872,0.00002382487,0.0002543516,0.004247558,0.9786756,0.00165073,0.007806348,0.001005471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801804,0.004316312,0.08230425,0.007215362,0.0001201209,0.001444822,0.00006045339,0.00005093298,0.0243074],"genre_scores_gemma":[0.9305121,0.000299766,0.04844484,0.0001657237,0.00002682996,0.0002532799,0.0008779421,0.00005911067,0.01936036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0503318,"threshold_uncertainty_score":0.9998531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005743825299106319,"score_gpt":0.2120055609858364,"score_spread":0.2062617356867301,"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."}}