{"id":"W2768396154","doi":"10.1038/s41467-017-01316-7","title":"The North American bullfrog draft genome provides insight into hormonal regulation of long noncoding RNA","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Human Genome Research Institute; Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Western Canada Research Grid; Compute Canada; National Institutes of Health; University of Victoria","keywords":"Bullfrog; Biology; Amphibian; Genome; Lithobates; Gene; Xenopus; Evolutionary biology; Model organism; Genetics; Threatened species; Non-coding RNA; Population; Computational biology; RNA; Ecology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002539323,0.0001155576,0.0001193798,0.00005076367,0.001182695,0.0001020556,0.001914167,0.000155459,0.000002397074],"category_scores_gemma":[0.0004590345,0.0000965615,0.00009051534,0.0001325237,0.0006182552,0.00001095955,0.0009811788,0.0005421391,0.000003564748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005352321,"about_ca_system_score_gemma":0.0001808274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431729,"about_ca_topic_score_gemma":0.007921593,"domain_scores_codex":[0.9990337,0.0001247687,0.0002116875,0.0002129425,0.0002298017,0.0001870531],"domain_scores_gemma":[0.9961649,0.0000544765,0.0003115155,0.003056171,0.0003497362,0.0000631791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008522968,0.00006657217,0.00189833,0.00001262835,0.0001518834,0.000001006391,0.0002017516,0.00009327219,0.9650313,0.001609547,0.0004356094,0.03041284],"study_design_scores_gemma":[0.0007172952,0.0004070035,0.382969,0.00004410439,0.00008027566,0.00001628077,0.0001243323,0.001641445,0.319535,0.0002837745,0.2937137,0.0004677903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128343,0.04013358,0.01360193,0.01678437,0.0003725376,0.001771856,0.00009066045,0.00005999851,0.01435081],"genre_scores_gemma":[0.9934572,0.003203505,0.00265235,0.00007809862,0.00008993565,0.00005368221,0.0002244086,0.00002288232,0.000217938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6454962,"threshold_uncertainty_score":0.909645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444166218003543,"score_gpt":0.3118383162125966,"score_spread":0.2973966540325611,"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."}}