{"id":"W1529176007","doi":"10.1002/0470080124.ch4","title":"Biomacromolecular Structure: Nucleic Acids","year":2006,"lang":"en","type":"other","venue":"Biomacromolecules","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Nucleic acid; Nucleic acid structure; Computational biology; Biology; Genetics; RNA; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002867526,0.001725755,0.001421538,0.001473015,0.000808419,0.002169722,0.00136632,0.001374065,0.1820249],"category_scores_gemma":[0.0005326698,0.0005969831,0.0003676796,0.001584074,0.0007887543,0.002657202,0.001627271,0.002311837,0.2124802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008624015,"about_ca_system_score_gemma":0.0006597316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000365312,"about_ca_topic_score_gemma":0.0007048146,"domain_scores_codex":[0.9997079,0.00003619224,0.00001559548,0.00007472619,0.0001409411,0.00002454133],"domain_scores_gemma":[0.999861,0.00002659863,0.00002019546,0.00002409288,0.00003928381,0.00002882506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003687345,0.00006530441,0.00008387706,0.001360556,0.00002232075,0.00009688549,0.00007090659,0.0005880475,0.0225628,0.07811803,0.4482759,0.4487186],"study_design_scores_gemma":[0.000003871169,0.00001642988,0.00007601782,0.00009670635,0.000005231941,0.000120566,0.00001115265,0.0002209214,0.003575269,0.006123865,0.989744,0.000006029443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002233303,0.1808503,0.07077704,0.005274854,0.03676124,0.0002861933,0.002363014,0.005397631,0.6960564],"genre_scores_gemma":[0.006932241,0.04317383,0.01906754,0.002281191,0.003492684,0.0003263454,0.001919006,0.0008328373,0.9219743],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1820249,"threshold_uncertainty_score":0.6089338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003645609265819012,"score_gpt":0.2126062303310072,"score_spread":0.2089606210651882,"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."}}