{"id":"W4413573669","doi":"10.64628/aam.vfvpa3rcr","title":"With rising human drug use, a collateral rise of dogs ingesting cannabis and opioids","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cannabis; Collateral; Drug; Collateral damage; Medicine; Anesthesia; Pharmacology; Psychiatry; Business; Psychology; Criminology; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005325932,0.000274517,0.0004096721,0.0008229613,0.0006495001,0.001659852,0.0002572033,0.001197065,0.01504263],"category_scores_gemma":[0.002407289,0.000182002,0.0003720309,0.001110978,0.000903103,0.000802384,0.0008891234,0.001622154,0.002441583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008735482,"about_ca_system_score_gemma":0.0007270142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253525,"about_ca_topic_score_gemma":0.005325982,"domain_scores_codex":[0.9993656,0.0001202585,0.00003190519,0.00009422631,0.0003097025,0.00007825773],"domain_scores_gemma":[0.9983122,0.0003219574,0.0004710009,0.0001911468,0.0003327469,0.0003708939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004894405,0.000922086,0.4776666,0.001254076,0.0004954831,0.01134771,0.003402624,0.0008975267,0.07473805,0.01933724,0.04982623,0.3552181],"study_design_scores_gemma":[0.00005838012,0.002205163,0.7268893,0.0002819065,0.0001784133,0.02982014,0.00316002,0.002440002,0.01524542,0.01112826,0.2085059,0.0000871217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8907883,0.008096696,0.007805695,0.01359664,0.00110193,0.0001418459,0.003699951,0.0008620598,0.07390687],"genre_scores_gemma":[0.9704102,0.002889511,0.003878119,0.002122382,0.0004852244,0.00003954329,0.001415545,0.00009110074,0.01866837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504263,"threshold_uncertainty_score":0.05032259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934778563558285,"score_gpt":0.282598961742957,"score_spread":0.2632511761073741,"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."}}