{"id":"W1970503076","doi":"10.1117/12.2087444","title":"Studying properties of RNA nanotubes via molecular dynamics","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ion; RNA; Hydrogen bond; Molecular dynamics; Molecule; Radius of gyration; Chemical physics; Materials science; Physics; Crystallography; Chemistry; Computational chemistry; Nuclear magnetic resonance; Polymer","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":[0.0001202651,0.0002496461,0.0002352915,0.0002686165,0.0002610768,0.0002929413,0.0002182566,0.0003362293,0.0006547007],"category_scores_gemma":[0.0003723926,0.0001392266,0.0002793238,0.0002219632,0.0002850417,0.0004053481,0.0002086589,0.0004079268,0.0001077561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003747047,"about_ca_system_score_gemma":0.000251319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545681,"about_ca_topic_score_gemma":0.0009158463,"domain_scores_codex":[0.9999368,0.0000121069,0.000002838052,0.00001545051,0.00002486429,0.000007857216],"domain_scores_gemma":[0.9999171,0.00004312022,0.00001202044,0.000008725269,0.00001218361,0.000006763876],"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":[0.00009938289,0.0001316523,0.005120596,0.0002463415,0.0001019499,0.0001634639,0.0002646654,0.5636553,0.3828612,0.01839092,0.0005778834,0.02838679],"study_design_scores_gemma":[0.00000709915,0.00003112591,0.001426943,0.000007991051,0.000009815475,0.00003326221,0.00001961288,0.9683224,0.02700916,0.001549458,0.001568718,0.0000144178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8077225,0.001481589,0.1813315,0.0004205908,0.00005842481,0.00006293404,0.0004977757,0.0005798602,0.007844648],"genre_scores_gemma":[0.9392918,0.001068568,0.05799201,0.00004731864,0.00001449509,0.0001142488,0.0002675073,0.00007251198,0.001131631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001545681,"threshold_uncertainty_score":0.003073335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147176843332185,"score_gpt":0.2186695321856276,"score_spread":0.2039518478524091,"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."}}