{"id":"W2596025735","doi":"10.1016/j.dib.2017.03.027","title":"Multi-species alignments of C. elegans lin-11 intronic sequences and putative transcriptional regulators","year":2017,"lang":"en","type":"article","venue":"Data in Brief","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"California Institute of Technology","keywords":"Hox gene; Enhancer; Biology; Caenorhabditis elegans; Gene; Computational biology; Genetics; Transcription (linguistics); Transcriptional regulation; Transcription factor; Evolutionary biology","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":[0.0004770028,0.002001023,0.001219546,0.004793422,0.001629684,0.0008635013,0.001158541,0.00123457,0.02428202],"category_scores_gemma":[0.001425221,0.0009975862,0.001139257,0.004083634,0.0001943791,0.0009991423,0.0008139058,0.001647041,0.01268254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005898898,"about_ca_system_score_gemma":0.001191357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450549,"about_ca_topic_score_gemma":0.005625411,"domain_scores_codex":[0.9995747,0.00005119662,0.00007194791,0.0001376253,0.0001290511,0.00003539839],"domain_scores_gemma":[0.9994352,0.0001644305,0.0001206463,0.00006933496,0.0001269489,0.00008322464],"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":[0.003692375,0.0006334733,0.004980411,0.009600543,0.0005666533,0.003163875,0.001005227,0.004492506,0.7859595,0.003442634,0.1015852,0.08087762],"study_design_scores_gemma":[0.0006192825,0.0008226396,0.081887,0.002058828,0.001519732,0.004895489,0.0009343515,0.02941413,0.1838639,0.004785155,0.6887516,0.0004477116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2487782,0.01621046,0.09894265,0.0007449808,0.002525722,0.0009212833,0.5792105,0.0223448,0.03032139],"genre_scores_gemma":[0.1480095,0.003788995,0.1375141,0.0002283133,0.0001619113,0.0006553995,0.6981581,0.003967667,0.007515995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02428202,"threshold_uncertainty_score":0.08123142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04491394362276104,"score_gpt":0.2973285797957266,"score_spread":0.2524146361729656,"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."}}