{"id":"W2999906294","doi":"10.1111/ejn.14679","title":"The highly selective mGlu <sub>2</sub> receptor positive allosteric modulator LY‐487,379 alleviates <scp>l</scp> ‐DOPA‐induced dyskinesia in the 6‐OHDA‐lesioned rat model of Parkinson's disease","year":2020,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Centre hospitalier universitaire de Québec; Université de Montréal; Montreal Neurological Institute and Hospital","funders":"Parkinson Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Weston Brain Institute; Fonds de Recherche du Québec - Santé; Michael J. Fox Foundation for Parkinson's Research","keywords":"Allosteric modulator; Dyskinesia; Allosteric regulation; Neuroscience; Parkinson's disease; Disease; Pharmacology; Receptor; Chemistry; Medicine; Biology; Internal medicine; Biochemistry","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":[0.0001458896,0.000570028,0.0008301376,0.0003251208,0.0002360876,0.0002392485,0.0003917082,0.0004470337,0.001576432],"category_scores_gemma":[0.00009793004,0.0002009643,0.000305862,0.00015032,0.0003965561,0.0002234756,0.0001421804,0.0008738992,0.0004683825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003684184,"about_ca_system_score_gemma":0.0004902423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010444,"about_ca_topic_score_gemma":0.006015798,"domain_scores_codex":[0.99986,0.00002389298,0.00001357579,0.00001412286,0.00003464322,0.00005363151],"domain_scores_gemma":[0.9999305,0.000007337848,0.00001730124,0.000006568365,0.000007310063,0.00003101113],"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":[0.001222995,0.0003241028,0.0001455481,0.00005269112,0.00001343506,0.00008630811,0.00002185448,0.00009458017,0.9963703,0.00007863167,0.0001023272,0.00148716],"study_design_scores_gemma":[0.0002765105,0.006819774,0.002685331,0.000007555085,0.00004588913,0.0002132378,0.00005274161,0.0008804288,0.9880514,0.00003954536,0.0009187276,0.000008757568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976963,0.0005514727,0.0004202032,0.000119508,0.00002928863,0.00004635804,0.0002892927,0.0001010819,0.0007465251],"genre_scores_gemma":[0.9951847,0.0007788463,0.001401327,0.00008868778,0.00001959304,0.00007572517,0.0003258106,0.00001496121,0.00211042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002010444,"threshold_uncertainty_score":0.00527364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05448592853261119,"score_gpt":0.2816316217573959,"score_spread":0.2271456932247847,"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."}}