{"id":"W4399546787","doi":"10.1021/acsagscitech.4c00054","title":"Environmental Impact of Outdoor Cannabis Production","year":2024,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fertilizer; Environmental science; Greenhouse gas; Agriculture; Production (economics); Natural resource economics; Life-cycle assessment; Cannabis; Business; Cannabis sativa; Environmental protection; Agronomy; Ecology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002245405,0.0002960813,0.0002518652,0.0002462089,0.0006085284,0.0008999715,0.0003377509,0.0004209607,0.004752615],"category_scores_gemma":[0.0002989897,0.00009213111,0.0005583357,0.000402368,0.0003474485,0.000357626,0.0005295027,0.0002560892,0.0003432606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149261,"about_ca_system_score_gemma":0.001083351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04576635,"about_ca_topic_score_gemma":0.06488752,"domain_scores_codex":[0.9997563,0.00004762703,0.000007327151,0.00004764248,0.00008535707,0.00005587709],"domain_scores_gemma":[0.9997856,0.00008264249,0.00004267972,0.00001662182,0.000050094,0.00002239832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002261932,0.0007474354,0.1588973,0.001242743,0.0003063925,0.003652124,0.0003922073,0.2675913,0.4420908,0.005196675,0.00297902,0.114642],"study_design_scores_gemma":[0.0001957176,0.005359962,0.4364341,0.0003028575,0.0004998216,0.001051656,0.003344502,0.177865,0.2999716,0.007490846,0.06724834,0.0002356464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680989,0.0006119978,0.002280355,0.0001694681,0.00002972466,0.00009356773,0.001279695,0.00006305338,0.02737308],"genre_scores_gemma":[0.9947437,0.0006377257,0.0008152926,0.00003641642,0.000003867607,0.00002628468,0.000382001,0.00001369253,0.003341004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04576635,"threshold_uncertainty_score":0.0909999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007777946582454971,"score_gpt":0.2881701696863721,"score_spread":0.2803922231039171,"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."}}