{"id":"W4282926083","doi":"10.1093/nar/gkac414","title":"Biophysical characterisation of human LincRNA-p21 sense and antisense Alu inverted repeats","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; University of Lethbridge","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; University of California, San Francisco; Alberta Innovates; Canada Research Chairs; Canada Foundation for Innovation; Canadian Armed Forces; National Institutes of Health; National Science Foundation","keywords":"Biology; Sense (electronics); RNA; Antisense RNA; Nucleic acid secondary structure; Nucleic acid structure; Non-coding RNA; Computational biology; Inverted repeat; Genetics; Small-angle X-ray scattering; Gene; Cell biology; Genome; Scattering; Physics; Chemistry","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":[0.0001265756,0.0001621999,0.0001146861,0.0001189616,0.0001969115,0.0002158414,0.000123038,0.0002035294,0.0004676471],"category_scores_gemma":[0.0004576711,0.00005940479,0.000117814,0.000144179,0.0001625737,0.0001086204,0.00008514913,0.0002403746,0.0001970486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710236,"about_ca_system_score_gemma":0.0001602329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464245,"about_ca_topic_score_gemma":0.001322537,"domain_scores_codex":[0.9999044,0.00001533558,0.000006561657,0.00002093632,0.00004081897,0.00001198748],"domain_scores_gemma":[0.9998939,0.0000332112,0.0000174528,0.00001062079,0.00002515328,0.00001972952],"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":[0.00004269198,0.00001507179,0.000561626,0.00001090004,0.000003336931,0.00003849205,0.00003055971,0.0008689361,0.9972879,0.000170821,0.00005338692,0.0009163101],"study_design_scores_gemma":[0.00001492649,0.0001369233,0.01268024,0.000004139773,0.00001391401,0.0002100055,0.00006934252,0.02413854,0.9589726,0.0002240922,0.003517121,0.00001808199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923164,0.0004427549,0.005474005,0.00008725115,0.00001218382,0.00001535827,0.0003972775,0.000047028,0.001207743],"genre_scores_gemma":[0.9947219,0.0002719736,0.002933433,0.00003307548,0.0000058452,0.00001889031,0.001118968,0.00002118654,0.0008748928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001464245,"threshold_uncertainty_score":0.002911448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459896878290869,"score_gpt":0.3387941804497782,"score_spread":0.3041952116668695,"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."}}