{"id":"W3083832329","doi":"10.1021/jacs.0c05587","title":"Development of High-Specificity Fluorescent Probes to Enable Cannabinoid Type 2 Receptor Studies in Living Cells","year":2020,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Leibniz-Gemeinschaft; Medical Research Council; Ministero dell’Istruzione, dell’Università e della Ricerca; Eidgenössische Technische Hochschule Zürich; Roche; Canada Excellence Research Chairs, Government of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Bern; F. Hoffmann-La Roche; Università degli Studi dell'Aquila; National Science Foundation; Queen Mary University of London; Ministerio de Economía y Competitividad","keywords":"Chemistry; Flow cytometry; Receptor; Cannabinoid receptor; Confocal microscopy; Cell type; Cell biology; Endocannabinoid system; Cell; Cannabinoid; G protein-coupled receptor; Biochemistry; Molecular biology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009913363,0.0007634738,0.0006575233,0.0004036045,0.0003804345,0.0005771586,0.0009342884,0.0009480669,0.001657225],"category_scores_gemma":[0.0005759362,0.0004189966,0.0004243183,0.0003439493,0.0004563483,0.0007512791,0.0006049596,0.001215908,0.0009121851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477863,"about_ca_system_score_gemma":0.0004651683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005349329,"about_ca_topic_score_gemma":0.00130527,"domain_scores_codex":[0.9995982,0.00008409964,0.00002496944,0.0001141633,0.0001047266,0.00007378443],"domain_scores_gemma":[0.9997531,0.00008395784,0.00004651789,0.00003479383,0.00004972957,0.00003200306],"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":[0.00002229638,0.000009630335,0.000025864,0.00004192241,0.000003605876,0.00002199103,0.00002173616,0.0001765794,0.997766,0.0004477772,0.00007434493,0.001388408],"study_design_scores_gemma":[0.00001221089,0.00007231559,0.0001707284,0.000006917437,0.000008400551,0.0001022983,0.00001677118,0.001918325,0.9935254,0.000140459,0.004015193,0.00001111949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3788136,0.003141134,0.6090428,0.0006709275,0.0001962761,0.0005750284,0.0009987574,0.001354089,0.005207473],"genre_scores_gemma":[0.494655,0.00344844,0.4893545,0.0005918575,0.00006769982,0.00172241,0.001504355,0.0002468899,0.008408876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001657225,"threshold_uncertainty_score":0.00615114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869789377348753,"score_gpt":0.3113194359715755,"score_spread":0.272621542198088,"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."}}