{"id":"W4416842411","doi":"10.1111/add.70274","title":"Outdated tools, underestimated harm: Modernizing cannabis surveillance in a post‐legalization era","year":2025,"lang":"en","type":"article","venue":"Addiction","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cannabis; Equity (law); MEDLINE; Public health; Addiction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066173,0.0001404565,0.0002324816,0.0004326581,0.0001044072,0.00008454051,0.00007924309,0.0001354947,0.0002165229],"category_scores_gemma":[0.000382377,0.000137691,0.00005778407,0.001100511,0.00004441502,0.0003122723,0.0000453748,0.0003019838,0.00002236059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004150701,"about_ca_system_score_gemma":0.0004783467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185701,"about_ca_topic_score_gemma":0.001532129,"domain_scores_codex":[0.9986681,0.000080896,0.0003099023,0.0003245369,0.000300058,0.000316466],"domain_scores_gemma":[0.9992258,0.000008130091,0.00005203337,0.000259746,0.0003665858,0.00008773307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00252099,0.0008874472,0.07052894,0.0005016363,0.0003827799,0.0001951894,0.001035168,0.004459077,0.09771131,0.006436374,0.6590658,0.1562753],"study_design_scores_gemma":[0.003012301,0.0002033527,0.859989,0.0003002979,0.00004910906,0.00003007943,0.0002450682,0.07180274,0.00353755,0.0002298807,0.06036365,0.0002369367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123522,0.001344559,0.01031235,0.06136194,0.0006431265,0.001304412,0.0001050796,0.0004292897,0.01214706],"genre_scores_gemma":[0.9867713,0.00009927378,0.00008968369,0.0008200221,0.00005570046,0.00008373515,0.0005905439,0.00002239,0.01146734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7894601,"threshold_uncertainty_score":0.5614875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204765867780432,"score_gpt":0.314626842167559,"score_spread":0.2925791834897546,"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."}}