{"id":"W2188035077","doi":"10.1093/nar/gkv1203","title":"ORegAnno 3.0: a community-driven resource for curated regulatory annotation","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute; National Institute of Mental Health","keywords":"Annotation; Biology; Resource (disambiguation); Computational biology; Regulatory sequence; Database; Information retrieval; Transcription factor; Gene; Bioinformatics; Computer science; Genetics","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":[0.007506238,0.003300413,0.003762848,0.0141848,0.003043606,0.0054706,0.006020302,0.002040962,0.0342597],"category_scores_gemma":[0.01427167,0.002294472,0.002803263,0.01236409,0.001081665,0.003623467,0.007878746,0.004070236,0.04622611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544859,"about_ca_system_score_gemma":0.006370319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005411189,"about_ca_topic_score_gemma":0.00827681,"domain_scores_codex":[0.995456,0.0008153234,0.0007031637,0.001322814,0.001258191,0.0004445138],"domain_scores_gemma":[0.9931825,0.002097545,0.0009276813,0.001740879,0.001361361,0.0006901255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00244191,0.0003066348,0.005024096,0.01333651,0.0006718955,0.001236164,0.002063656,0.002396398,0.06463996,0.01264262,0.7939699,0.1012703],"study_design_scores_gemma":[0.0002637807,0.00009202008,0.005856982,0.00151065,0.000318771,0.0004826661,0.0003665728,0.006783933,0.01944878,0.01319203,0.9513002,0.0003836859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004506548,0.001773549,0.1190693,0.0004327373,0.0004607724,0.0009731953,0.665905,0.1884307,0.01844805],"genre_scores_gemma":[0.00579804,0.0008683568,0.1207761,0.00038178,0.0001017113,0.001890848,0.8343039,0.03084913,0.005030116],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0342597,"threshold_uncertainty_score":0.1146101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06683767200651129,"score_gpt":0.3455675173957038,"score_spread":0.2787298453891925,"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."}}