{"id":"W2889268286","doi":"10.1016/j.bpj.2019.02.027","title":"Quantifying Molecular Forces with Serially Connected Force Sensors","year":2019,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kelowna General Hospital; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Force spectroscopy; Molecular dynamics; Chemistry; Biophysics; Nanotechnology; Physics; Molecule; Biological system; Materials science; Computational chemistry; 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":[0.0004743915,0.0009308525,0.0006421437,0.0007932841,0.0005514803,0.001006785,0.001421185,0.001671473,0.003414971],"category_scores_gemma":[0.001298021,0.0007198313,0.0002551818,0.0007605858,0.0007532319,0.001691251,0.001117369,0.001168476,0.0007180541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379082,"about_ca_system_score_gemma":0.0006435181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233766,"about_ca_topic_score_gemma":0.003645793,"domain_scores_codex":[0.9991193,0.00007399912,0.00004169781,0.000292044,0.000392887,0.00008003999],"domain_scores_gemma":[0.9991978,0.0002906601,0.0001707862,0.0001165321,0.000134835,0.00008936536],"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":[0.0001885678,0.0002606605,0.002622002,0.00008131607,0.00003053538,0.00009322026,0.00008285506,0.001281534,0.9687498,0.001094334,0.0006177517,0.02489743],"study_design_scores_gemma":[0.00005618178,0.0004153383,0.006399055,0.00002042414,0.00004875789,0.0002994252,0.00007576369,0.06897855,0.9184683,0.001381306,0.003795857,0.00006110497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963677,0.0009155153,0.1918697,0.0007377178,0.0006095678,0.0003054993,0.0009071263,0.0017232,0.006563901],"genre_scores_gemma":[0.8603399,0.0005816977,0.1334177,0.0004597896,0.0001216962,0.0001827427,0.0003067728,0.00007547021,0.004514094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003414971,"threshold_uncertainty_score":0.01142418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0092096642213247,"score_gpt":0.265421927102179,"score_spread":0.2562122628808543,"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."}}