{"id":"W4395464662","doi":"10.1021/acsptsci.4c00014","title":"Enantiomeric Agonists of the Type 2 Cannabinoid Receptor Reduce Retinal Damage during Proliferative Vitreoretinopathy and Inhibit Hyperactive Microglia <i>In Vitro</i>","year":2024,"lang":"en","type":"article","venue":"ACS Pharmacology & Translational Science","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Microglia; Inflammation; Agonist; Proliferative vitreoretinopathy; Cannabinoid receptor type 2; Retinal; Cannabinoid; Pharmacology; Biology; Receptor; Cell biology; Cannabinoid receptor; Immunology; Medicine; Internal medicine; Retinal detachment; 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":[0.0001524322,0.0003836096,0.0003805867,0.0003622235,0.0001642821,0.0001837283,0.0002541758,0.0003068744,0.004043026],"category_scores_gemma":[0.00008418778,0.0001438642,0.0002660882,0.0002038965,0.0001471155,0.0001892361,0.0001130283,0.0006672534,0.0005714848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565606,"about_ca_system_score_gemma":0.0002244155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906349,"about_ca_topic_score_gemma":0.003237236,"domain_scores_codex":[0.9998722,0.00001607748,0.00001439631,0.00001435615,0.00003079149,0.00005212936],"domain_scores_gemma":[0.9999443,0.00001136069,0.00001260678,0.000004702078,0.000009519697,0.00001743693],"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":[0.001203678,0.0001787091,0.00007402642,0.00007410256,0.000009629169,0.00008196408,0.0000196531,0.00008083045,0.9959104,0.00006667853,0.0005451112,0.001755181],"study_design_scores_gemma":[0.00007879375,0.001444586,0.00381294,0.00001206229,0.00002252445,0.0001769461,0.00004807365,0.0008009544,0.9911979,0.00003361434,0.002363493,0.000007962359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798961,0.004384581,0.002979684,0.00048198,0.00018167,0.0001276418,0.002265336,0.0004056121,0.009277551],"genre_scores_gemma":[0.9639466,0.004987315,0.008704114,0.0004167576,0.00008875736,0.0003400273,0.002681571,0.0001030576,0.01873183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004043026,"threshold_uncertainty_score":0.01352525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069899091897135,"score_gpt":0.3159965741710823,"score_spread":0.305297583252111,"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."}}