{"id":"W2078297960","doi":"10.4309/jgi.2008.21.19","title":"Gambling for local authorities: Licensing, planning, and regeneration","year":2008,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Legislation; Law; Delegation; Heading (navigation); Set (abstract data type); Political science; Inclusion (mineral); Sociology; Law and economics; Engineering; Computer science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004084915,0.0001696367,0.0001982706,0.0005474949,0.001513454,0.004583103,0.0004379809,0.00126605,0.01281429],"category_scores_gemma":[0.001305966,0.000197032,0.0001418012,0.001332693,0.002767421,0.002582471,0.00121179,0.001689401,0.001880697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005137407,"about_ca_system_score_gemma":0.00594724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02854428,"about_ca_topic_score_gemma":0.07120711,"domain_scores_codex":[0.9995253,0.0001349073,0.00001263795,0.00003260826,0.0001801827,0.0001143624],"domain_scores_gemma":[0.9996824,0.0001242919,0.00004911323,0.00001181564,0.00005477347,0.00007758258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001696755,0.00006329613,0.001749011,0.0002296976,0.000004232419,0.0001645603,0.004241179,0.001784259,0.00009852976,0.7563263,0.1592193,0.07610271],"study_design_scores_gemma":[0.000008720535,0.00004729854,0.01070835,0.0008035217,0.000007518927,0.0002003939,0.01244509,0.001546821,0.0001141832,0.1129481,0.8611493,0.00002071636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03312762,0.05730644,0.003695339,0.04364671,0.0006571133,0.00005889831,0.0001922278,0.0000980693,0.8612177],"genre_scores_gemma":[0.542489,0.04695191,0.001195944,0.004135205,0.0007205937,0.000094602,0.0002098553,0.00004801407,0.4041549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02854428,"threshold_uncertainty_score":0.05675626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2572370747458657,"score_gpt":0.3621862541362723,"score_spread":0.1049491793904066,"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."}}