{"id":"W2917908354","doi":"","title":"Thermodynamic Characterization of Tetraplex DNA Structures","year":2018,"lang":"en","type":"dissertation","venue":"TSpace","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); DNA; Computational biology; Computer science; Chemistry; Nanotechnology; Biology; Materials science; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126234,0.000166143,0.0002130364,0.0006810322,0.0002930106,0.0002616135,0.0002374589,0.0001651042,0.002081757],"category_scores_gemma":[0.000579464,0.0001176256,0.0001403164,0.0004868664,0.0001701279,0.0002811886,0.0001238555,0.0003294773,0.0002838931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003468986,"about_ca_system_score_gemma":0.0001909297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009450354,"about_ca_topic_score_gemma":0.001415049,"domain_scores_codex":[0.9997967,0.00002036497,0.00001454864,0.00006708034,0.00007798179,0.00002336194],"domain_scores_gemma":[0.9996532,0.00008040723,0.00006985541,0.00001858135,0.0001344876,0.00004343204],"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":[0.00007662622,0.00002901863,0.003559934,0.00008110156,0.00001208135,0.00004493854,0.0001203671,0.0007171415,0.9898524,0.0002759543,0.00006785452,0.005162657],"study_design_scores_gemma":[0.000005180694,0.0002864442,0.03163484,0.00001109158,0.00001723441,0.0002154512,0.0001228664,0.008953862,0.9563119,0.0002263094,0.002193437,0.00002147436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9906715,0.0008125189,0.004615733,0.00003589123,0.00001349875,0.00004364596,0.00149933,0.0000910093,0.002216863],"genre_scores_gemma":[0.9930272,0.0003654036,0.003024047,0.00001656633,0.000007146235,0.00005727588,0.001627728,0.00003625771,0.001838451],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002081757,"threshold_uncertainty_score":0.006964147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005558392374886013,"score_gpt":0.2742571573897684,"score_spread":0.2686987650148824,"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."}}