{"id":"W4290851642","doi":"10.1007/s00204-022-03355-6","title":"Linking in vitro and ex vivo CB1 activity with serum concentrations and clinical features in 5F-MDMB-PICA users to better understand SCRAs and their metabolites","year":2022,"lang":"en","type":"article","venue":"Archives of Toxicology","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Bijzonder Onderzoeksfonds UGent","keywords":"Cannabinoid; Cannabinoid receptor; Ex vivo; Pharmacology; Pica (typography); In vivo; Chemistry; Medicine; Biology; Receptor; Biochemistry; Antagonist; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0007153893,0.0002409911,0.0006561262,0.0003927288,0.0002813045,0.00001434743,0.0001687578,0.0002184088,0.0001108521],"category_scores_gemma":[0.0001047715,0.000211017,0.00006567528,0.0002836055,0.001372977,0.00009587536,0.000352963,0.001170676,5.633368e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003156146,"about_ca_system_score_gemma":0.0001012855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004361363,"about_ca_topic_score_gemma":0.001887712,"domain_scores_codex":[0.9970224,0.001488936,0.0004078238,0.0005378769,0.00008093068,0.0004619546],"domain_scores_gemma":[0.9969565,0.002493534,0.0001603969,0.0001716054,0.00001394673,0.000204012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005636858,0.0008528372,0.756202,0.00006087179,0.0006474502,0.0001013692,0.0116816,0.0008056978,0.1851869,0.003248577,0.0001503795,0.0354255],"study_design_scores_gemma":[0.008646862,0.002022329,0.882723,0.00003444011,0.0004530218,0.0001658828,0.007847721,0.005247745,0.07780872,0.008247502,0.006116896,0.0006858787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910142,0.0009653391,0.00009799698,0.006525655,0.0001596417,0.0004276458,0.000146537,0.00001844531,0.0006445721],"genre_scores_gemma":[0.9949217,0.0003473261,0.001007812,0.003526916,0.0000415923,0.00003762172,0.000009673283,0.0000156085,0.00009177779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1265211,"threshold_uncertainty_score":0.8605025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0480951489272951,"score_gpt":0.3775523220239496,"score_spread":0.3294571730966545,"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."}}