{"id":"W2982645678","doi":"10.1096/fj.201900417r","title":"The receptor‐receptor interaction between mGluR1 receptor and NMDA receptor: a potential therapeutic target for protection against ischemic stroke","year":2019,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Metabotropic glutamate receptor 1; Excitotoxicity; Neuroprotection; NMDA receptor; Metabotropic glutamate receptor 5; Neuroscience; Stroke (engine); Receptor; Medicine; Glutamate receptor; Metabotropic glutamate receptor; Pharmacology; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001606665,0.0003087878,0.0002788286,0.0001716651,0.002151509,0.0005651563,0.0009270833,0.0001322817,0.0003827942],"category_scores_gemma":[0.0004541337,0.000186974,0.0002087064,0.0003800344,0.0005038181,0.0006871706,0.0001938685,0.001659708,0.0004562873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398236,"about_ca_system_score_gemma":0.0001682287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003091273,"about_ca_topic_score_gemma":6.696309e-7,"domain_scores_codex":[0.996311,0.001049305,0.0004861089,0.0006129256,0.0007053851,0.0008352902],"domain_scores_gemma":[0.9978924,0.0009444318,0.0004240095,0.0003559079,0.0001451015,0.0002381132],"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":[0.0007850457,0.00005167963,0.0003563755,0.00001368636,0.00002525618,9.562327e-7,0.0001583082,0.00003496218,0.9735909,0.00001247477,0.006454521,0.01851582],"study_design_scores_gemma":[0.00105213,0.0007813483,0.00004942984,0.00002525215,0.00001831183,0.00005526823,0.0002687853,0.000742805,0.888927,0.00005856012,0.1078241,0.0001969385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876941,0.0001075168,0.0004728721,0.005085583,0.004615646,0.001646225,0.00008352128,0.00006735168,0.0002271825],"genre_scores_gemma":[0.9910565,0.001376439,0.0000671298,0.0008061216,0.001289516,0.0001251551,0.000003754213,0.00005825671,0.005217128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013696,"threshold_uncertainty_score":0.9991475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04529943548211637,"score_gpt":0.315850893624919,"score_spread":0.2705514581428026,"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."}}