{"id":"W6939691475","doi":"10.6084/m9.figshare.28428911.v1","title":"Supplementary Material for: Exploring associations between cannabis prices, stores, and usage after recreational legalization","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cannabis; Recreation; Legalization; Recreational use; Government (linguistics); Marijuana smoking; Falling (accident)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001081921,0.0009136617,0.0009128729,0.002381862,0.00106937,0.002255627,0.001927065,0.001363366,0.1116355],"category_scores_gemma":[0.01092761,0.0005131498,0.001207722,0.005847374,0.0003081112,0.0009313973,0.001458332,0.001134299,0.03998556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003897817,"about_ca_system_score_gemma":0.007756234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4994342,"about_ca_topic_score_gemma":0.6980157,"domain_scores_codex":[0.9992166,0.000126143,0.00009881225,0.0002002486,0.0001912273,0.0001670147],"domain_scores_gemma":[0.993701,0.001671384,0.0006487255,0.0007047432,0.00271922,0.0005550627],"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":[0.0001024473,0.00003183531,0.01264605,0.001107237,0.0001059343,0.00003844183,0.00006924864,0.0003963243,0.00007632155,0.0005417733,0.9816617,0.0032226],"study_design_scores_gemma":[0.0005583647,0.0000381543,0.09340113,0.001644047,0.0001902987,0.00009079556,0.0004258452,0.0007602245,0.0002950272,0.001126494,0.9013954,0.00007424603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001605002,0.00003583563,0.00002330382,0.00003276048,0.000007282881,0.000007499181,0.9994076,0.00003695597,0.0002881439],"genre_scores_gemma":[0.001638291,0.00006846253,0.0003505554,0.00007595831,0.000009110074,0.0001154507,0.9961879,0.00003631305,0.001518015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4994342,"threshold_uncertainty_score":0.9930544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508282297254752,"score_gpt":0.2588991865181803,"score_spread":0.2138163635456328,"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."}}