{"id":"W4366827895","doi":"10.1101/2023.04.21.537890","title":"Enhancing the Applied Force and Range of Axial Optical Tweezers","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optical tweezers; Force spectroscopy; Tethering; Nucleic acid; Range (aeronautics); Optical force; Substrate (aquarium); Tweezers; Chemistry; Nanotechnology; Materials science; Optics; Physics; Atomic force microscopy; Computer science; Biology; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003728896,0.000315611,0.0003929834,0.00008017325,0.0001753406,0.0001050734,0.0004160525,0.000177268,0.00002851742],"category_scores_gemma":[0.00001100351,0.0002740221,0.0001252221,0.0002441513,0.0002193906,0.00003611962,0.0005275276,0.0005107025,0.00002089699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003669106,"about_ca_system_score_gemma":0.0001589484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001048602,"about_ca_topic_score_gemma":0.000001259267,"domain_scores_codex":[0.9985076,0.00002394277,0.0004235455,0.0005316886,0.0001765527,0.0003366979],"domain_scores_gemma":[0.9985992,0.00009309217,0.0002717449,0.0008125684,0.0001176556,0.0001057481],"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":[0.00001197841,0.00005107059,0.002409604,0.0001482715,0.0001120127,6.882987e-7,0.00002213723,0.00002502717,0.9303911,0.06655733,0.0002633159,0.000007466362],"study_design_scores_gemma":[0.0002956374,0.00002196018,0.01225871,0.000191895,0.0001421392,1.998121e-9,0.0000244104,0.000169201,0.9851044,0.0002075351,0.001116617,0.0004674738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308698,0.0001295851,0.06627887,0.000296881,0.0002532469,0.001329289,0.0003512315,0.0003303039,0.0001608552],"genre_scores_gemma":[0.992412,0.0000243217,0.006597269,0.00003416607,0.0003443569,0.0004803535,6.169205e-7,0.00008514227,0.00002180677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06634979,"threshold_uncertainty_score":0.9999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154474019230931,"score_gpt":0.2360894146294322,"score_spread":0.2245446744371229,"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."}}