{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006001527,0.0002417056,0.0004218872,0.00004638891,0.00008797827,0.00001759935,0.0002993999,0.00009484716,0.00006830559],"category_scores_gemma":[0.0002333956,0.0002208545,0.0001409701,0.0001097168,0.0002460112,0.00004704451,0.0002182003,0.0001605632,0.00002376503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004819159,"about_ca_system_score_gemma":0.00002818329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001997817,"about_ca_topic_score_gemma":7.970388e-7,"domain_scores_codex":[0.9981861,0.0002859864,0.0003353989,0.0007720846,0.00006642444,0.0003540141],"domain_scores_gemma":[0.9991872,0.000225332,0.0001870661,0.0002018621,0.00005266786,0.0001458365],"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":[0.000180494,0.00004174509,0.00007784995,0.00008694563,0.0000142874,0.00003060659,0.0001244168,0.00002898548,0.9968124,0.000975118,0.0002019717,0.001425158],"study_design_scores_gemma":[0.0007105995,0.001182139,0.00002553173,0.00001430073,0.00002053674,0.00001149353,0.00001639375,0.001044706,0.985974,0.0002080439,0.01058947,0.0002028194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916815,0.0001274828,0.006476176,0.0005483826,0.0003354371,0.0005108045,0.0001724637,0.00004294856,0.0001047658],"genre_scores_gemma":[0.9920023,0.0002058611,0.0002080163,0.007319269,0.0001261057,0.00002615639,0.0000270041,0.00004533461,0.00003994647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083846,"threshold_uncertainty_score":0.9006186,"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."}}