{"id":"W2990713940","doi":"10.1111/capa.12347","title":"Cannabis legalization and the machinery of government","year":2019,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Community Health and Development","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Cabinet (room); Government (linguistics); Recreation; Public administration; Cannabis; Business; Hierarchy; Public relations; Political science; Engineering; Psychology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007800341,0.00006425401,0.000117165,0.00005002811,0.0004182452,0.00001432798,0.00009630973,0.00007813441,0.0006034718],"category_scores_gemma":[0.0002676701,0.00004863046,0.00001501217,0.0001344247,0.00005169768,0.000109892,0.00002522659,0.0002231385,0.00003021438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003451344,"about_ca_system_score_gemma":0.003855875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02461378,"about_ca_topic_score_gemma":0.6835964,"domain_scores_codex":[0.9989094,0.0002702017,0.0003094507,0.00009155404,0.0001796747,0.0002397873],"domain_scores_gemma":[0.9991731,0.00009067855,0.0001433815,0.0002284831,0.00008439952,0.0002799287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009424383,0.00001534849,0.1347143,0.0002452777,0.00001587409,8.86987e-7,0.001863735,3.573768e-7,0.000009916896,0.8043697,0.05225981,0.006410521],"study_design_scores_gemma":[0.001306601,0.00006488974,0.1196754,0.00004076096,0.000006695982,0.000002695132,0.00242988,0.0006171554,0.000007915892,0.0009950835,0.8747556,0.00009732582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5338253,0.0001450039,0.0001639144,0.3776835,0.0006055878,0.001854309,0.00009903867,0.00002046313,0.08560287],"genre_scores_gemma":[0.9885969,0.00001881441,0.0000639993,0.003846018,0.00003764259,0.00006660911,0.0000659816,0.000006479073,0.0072976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8224958,"threshold_uncertainty_score":0.9818814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667641894378594,"score_gpt":0.3355126232120755,"score_spread":0.3088362042682896,"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."}}