{"id":"W4317816982","doi":"10.3390/ijms24032135","title":"New Insights into Bitopic Orthosteric/Allosteric Ligands of Cannabinoid Receptor Type 2","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Ministero della Salute; Natural Sciences and Engineering Research Council of Canada; Università di Pisa; GlaxoSmithKline","keywords":"Allosteric regulation; Cannabinoid receptor; Chemistry; Agonist; Cannabinoid; G protein-coupled receptor; Ligand (biochemistry); Receptor; Allosteric modulator; Cannabinoid receptor type 2; Pharmacology; Stereochemistry; Neuroscience; Biochemistry; Biology","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":[0.000226962,0.0004452034,0.0006410754,0.0002395596,0.0001613843,0.0004645005,0.0005336809,0.0002714733,0.003581711],"category_scores_gemma":[0.0001175843,0.0001898682,0.000316095,0.0001653703,0.000295727,0.0003980286,0.0005492349,0.0007772101,0.000739158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119658,"about_ca_system_score_gemma":0.0001978232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372561,"about_ca_topic_score_gemma":0.001098984,"domain_scores_codex":[0.9999154,0.00002011093,0.000005618628,0.00001668278,0.0000217104,0.00002053602],"domain_scores_gemma":[0.9999665,0.00000773749,0.000008291304,0.00000415031,0.00000500749,0.000008252524],"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":[0.0007296416,0.0003202938,0.0005446158,0.0008969637,0.00005843941,0.0006687077,0.0001318542,0.007268296,0.9336163,0.01066983,0.0008469727,0.04424807],"study_design_scores_gemma":[0.0008225815,0.008614622,0.004488621,0.0002175399,0.0004533459,0.005431314,0.0005921779,0.05793502,0.8018991,0.01366632,0.1056512,0.0002281258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772039,0.03953304,0.0541716,0.001598004,0.0002303545,0.0002435155,0.0009617577,0.0005467778,0.02551113],"genre_scores_gemma":[0.9515133,0.01966882,0.02113502,0.001003138,0.00008865356,0.00008631116,0.0005841047,0.00005761474,0.005863084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003581711,"threshold_uncertainty_score":0.01198196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319664994474159,"score_gpt":0.2810491050878047,"score_spread":0.2678524551430632,"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."}}