{"id":"W2528869593","doi":"10.11159/ffhmt16.160","title":"Modelling Biological Polymeric Nanostructures in Physiological Fluids: Focus on Ribonucleic Acid Nanotubes","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Economía y Competitividad; Basque Center for Applied Mathematics; Eusko Jaurlaritza","keywords":"Nanotechnology; Nanostructure; Focus (optics); Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000215517,0.000286019,0.0003455813,0.0001421418,0.00008055972,0.00008914525,0.0007887324,0.000164419,0.0003321782],"category_scores_gemma":[0.00007113284,0.0001500352,0.0001288342,0.0001271061,0.0003597203,0.000191071,0.0001191307,0.0001633189,0.00001263254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007103971,"about_ca_system_score_gemma":0.00002986022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003132245,"about_ca_topic_score_gemma":0.000001710903,"domain_scores_codex":[0.9982265,0.00002567392,0.000408904,0.0005519659,0.0004642482,0.0003226933],"domain_scores_gemma":[0.9994832,0.000111445,0.00003125898,0.0001295882,0.0001726765,0.00007184262],"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":[0.0005150075,0.00006756395,0.0005131046,0.00001163763,0.0000130818,9.025458e-7,0.000113629,0.00007067835,0.9338882,0.06403568,0.00005487642,0.0007156218],"study_design_scores_gemma":[0.0007186765,0.0003193369,0.000451917,0.0002767808,0.000009546087,0.000007174629,0.00004471924,0.008337167,0.9711416,0.01842345,0.00004298507,0.0002265925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932613,0.0001112473,0.0005360321,0.002818468,0.0004639453,0.0002391345,0.00007227938,0.00005244695,0.002445145],"genre_scores_gemma":[0.9987009,0.0003277239,0.0005242796,0.0002302146,0.0001115933,0.00003603751,0.000001849731,0.00001588455,0.0000515848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04561223,"threshold_uncertainty_score":0.6118259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161616778330521,"score_gpt":0.2426528120632661,"score_spread":0.2110366442799609,"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."}}