{"id":"W1894009056","doi":"10.1371/journal.pone.0142277","title":"Simulation Assisted Analysis of the Intrinsic Stiffness for Short DNA Molecules Imaged with Scanning Atomic Force Microscopy","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Persistence length; DNA; Atomic force microscopy; Biophysics; Stiffness; Mica; Force spectroscopy; Microscopy; Flexibility (engineering); Resolution (logic); Biological system; Scanning Force Microscopy; Molecule; Materials science; Nanotechnology; Polymer; Chemistry; Physics; Optics; Biology; Computer science; Mathematics; Composite material; Artificial intelligence","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":[0.0001289456,0.0002782476,0.0001827724,0.0003659352,0.000287862,0.0002173949,0.0003331025,0.0005214911,0.001133183],"category_scores_gemma":[0.0004613518,0.0001907071,0.0002475643,0.0002363225,0.0002236346,0.00022384,0.0001377422,0.0004046739,0.00009995547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475127,"about_ca_system_score_gemma":0.0004810778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360591,"about_ca_topic_score_gemma":0.00488532,"domain_scores_codex":[0.9999522,0.000006930677,0.000002815591,0.00000692551,0.00002052736,0.00001056391],"domain_scores_gemma":[0.9998001,0.0001069572,0.00002065964,0.00001842958,0.00003203679,0.00002183126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001327684,0.000105834,0.003954277,0.00009081901,0.00005407841,0.0002224282,0.0000981909,0.8755998,0.1089271,0.00411015,0.000432526,0.006272001],"study_design_scores_gemma":[0.000003546052,0.000009126894,0.000683262,0.000001478395,0.000001669994,0.000008367181,0.000004547557,0.9951313,0.003841315,0.0001937612,0.0001171831,0.000004502393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637464,0.0001156882,0.0327286,0.0001313317,0.0000194311,0.00002417675,0.0002724144,0.0003175403,0.002644528],"genre_scores_gemma":[0.9829715,0.000074392,0.01611304,0.00001827,0.000004073623,0.000043617,0.0002028895,0.00005381217,0.00051839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004360591,"threshold_uncertainty_score":0.00867039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740350724552116,"score_gpt":0.2934015694241398,"score_spread":0.2559980621786186,"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."}}