{"id":"W3198251956","doi":"10.1111/bph.15463","title":"Identification and characterization of novel candidate compounds targeting 6‐ and 7‐transmembrane μ‐opioid receptor isoforms","year":2021,"lang":"en","type":"article","venue":"British Journal of Pharmacology","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Center for Advancing Translational Sciences; Louise and Alan Edwards Foundation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Center for Scientific Review; Passano Foundation; National Institute of General Medical Sciences; National Institute on Drug Abuse","keywords":"Identification (biology); Transmembrane protein; Gene isoform; Opioid receptor; Chemistry; Computational biology; Receptor; Opioid; Transmembrane domain; Pharmacology; Neuroscience; Biology; Biochemistry; Gene","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":[0.000208057,0.0007582667,0.0008993817,0.0007350211,0.0003221068,0.0005710367,0.0006059957,0.0004451384,0.00529173],"category_scores_gemma":[0.0002755451,0.0002061725,0.0007824979,0.0005119682,0.0002134634,0.0003733941,0.0002921539,0.0006829935,0.001046973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953852,"about_ca_system_score_gemma":0.0009051731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008198579,"about_ca_topic_score_gemma":0.002608804,"domain_scores_codex":[0.9998832,0.00001611461,0.00001092497,0.00002601933,0.00003563581,0.0000281017],"domain_scores_gemma":[0.999876,0.00001544976,0.00003081987,0.000008049555,0.00004092266,0.00002873927],"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":[0.001311325,0.001204843,0.002249265,0.001726784,0.0002306907,0.001012668,0.00008474326,0.004897193,0.9221281,0.00100083,0.001986615,0.06216686],"study_design_scores_gemma":[0.002802791,0.02704014,0.01311324,0.0004234369,0.001621736,0.005297087,0.0002834634,0.01140268,0.8891683,0.0008110817,0.04788086,0.0001551903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452011,0.02443294,0.0112352,0.0009041725,0.0001498195,0.001209369,0.00615394,0.0004232091,0.01029006],"genre_scores_gemma":[0.9503739,0.01463688,0.01457615,0.0008253975,0.00005476954,0.0004869901,0.008139031,0.0000645269,0.01084227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00529173,"threshold_uncertainty_score":0.01770258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623844049234016,"score_gpt":0.2679234464354761,"score_spread":0.2516850059431359,"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."}}