{"id":"W4394065722","doi":"10.6084/m9.figshare.21404594","title":"Home cannabis cultivation in the United States and differences by state-level policy, 2019-2020","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cannabis; State (computer science); Political science; Geography; Psychology; Computer science; Psychiatry","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":[0.0005459899,0.0001012983,0.0001003415,0.0005927026,0.0005525487,0.0008636263,0.0004369869,0.0003996005,0.002547584],"category_scores_gemma":[0.001595796,0.0001381095,0.0003753171,0.001166339,0.0003407006,0.000783232,0.0007944336,0.0006937135,0.0002530782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138935,"about_ca_system_score_gemma":0.001343759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1594929,"about_ca_topic_score_gemma":0.307455,"domain_scores_codex":[0.9997531,0.00003835514,0.00002923621,0.00004265848,0.00005208777,0.00008467444],"domain_scores_gemma":[0.9985123,0.0001872158,0.0007633443,0.00003561537,0.000195349,0.0003061207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006571688,0.00008386061,0.9924905,0.00003862497,0.00003897516,0.00006103567,0.0006591079,0.0001332646,0.0001576601,0.0002440866,0.001690675,0.004336526],"study_design_scores_gemma":[0.00000256217,0.00001824959,0.9965563,0.00003599236,0.000008926934,0.00004622674,0.002162845,0.0001390148,0.00006118211,0.00002954516,0.0009354018,0.000003721591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9929703,0.0005850146,0.00006074346,0.001126961,0.000022375,0.00001261212,0.003203661,0.000007475111,0.002010866],"genre_scores_gemma":[0.9959715,0.0005679302,0.00007988045,0.0002563608,0.00001232295,0.00001314463,0.002536243,0.000002855636,0.0005598336],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1594929,"threshold_uncertainty_score":0.317129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03979254658947758,"score_gpt":0.3163309753191136,"score_spread":0.2765384287296361,"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."}}