{"id":"W3090039959","doi":"10.1007/s10571-020-00971-7","title":"Alternative Splicing of Opioid Receptor Genes Shows a Conserved Pattern for 6TM Receptor Variants","year":2020,"lang":"en","type":"article","venue":"Cellular and Molecular Neurobiology","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre; McGill Genome Centre","funders":"U.S. National Library of Medicine; National Institute of General Medical Sciences; Canadian Institutes of Health Research; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Health and Human Services","keywords":"Nociceptin receptor; G protein-coupled receptor; Alternative splicing; Receptor; Biology; Gene; Genetics; Opioid receptor; Computational biology; Opioid; Gene isoform; Opioid peptide","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":[0.000177082,0.0002144197,0.0002679034,0.0004429676,0.0001446887,0.0002843206,0.0001812405,0.0002346398,0.001457532],"category_scores_gemma":[0.0004026336,0.0001270152,0.0004902493,0.0003583782,0.0002606212,0.0001437301,0.0001958382,0.0003798813,0.0006723753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166409,"about_ca_system_score_gemma":0.0001078285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002428477,"about_ca_topic_score_gemma":0.000434465,"domain_scores_codex":[0.9997144,0.00004171361,0.00003078489,0.0001015794,0.00007378844,0.00003773701],"domain_scores_gemma":[0.9995131,0.00009257287,0.0002210742,0.00006175163,0.00005832326,0.00005323582],"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":[0.0001856894,0.00001382071,0.00903587,0.0000516892,0.00004128283,0.001493454,0.0000917573,0.00008322741,0.9811302,0.0003484148,0.00009136472,0.007433161],"study_design_scores_gemma":[0.00007127943,0.001179632,0.5062497,0.0001123873,0.0003369747,0.03506989,0.0005094322,0.002526028,0.4301693,0.002182323,0.02151951,0.00007364195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888064,0.002071653,0.0071201,0.0001313157,0.00003598041,0.00001318867,0.0007014024,0.00005257122,0.001067508],"genre_scores_gemma":[0.9893389,0.001094425,0.006520172,0.0001579041,0.00005297827,0.00001725165,0.00170388,0.00004297702,0.001071478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457532,"threshold_uncertainty_score":0.004875958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03519781939690528,"score_gpt":0.2445488129154285,"score_spread":0.2093509935185232,"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."}}