{"id":"W2141053791","doi":"10.1080/13606719.2013.849503","title":"Fiscal implications of moving to tourism finance for parks: Ontario Provincial Parks","year":2013,"lang":"en","type":"article","venue":"Managing Leisure","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Government (linguistics); Fiscal year; Business; Diversity (politics); Public finance; Agricultural economics; Economics; Finance; Economic growth; Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00118759,0.0001387415,0.0001538505,0.0008903047,0.003331083,0.003471024,0.0008199563,0.00081422,0.004637541],"category_scores_gemma":[0.006237995,0.0001252081,0.0002634475,0.002065312,0.001135418,0.001030303,0.0009738044,0.0008785483,0.0001557464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06080825,"about_ca_system_score_gemma":0.0893818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9705929,"about_ca_topic_score_gemma":0.9878274,"domain_scores_codex":[0.9982921,0.0002167733,0.00003694653,0.00004293436,0.0006569118,0.0007543172],"domain_scores_gemma":[0.9961295,0.0005447766,0.0004063188,0.00005884033,0.001723009,0.001137419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000557105,0.0003350888,0.3491194,0.0009137479,0.00009426491,0.003659486,0.007392467,0.02103722,0.001277184,0.2233513,0.1675846,0.2246782],"study_design_scores_gemma":[0.0001544044,0.0001923532,0.5478685,0.0008758466,0.0001101553,0.0005854428,0.02107465,0.008041833,0.0008165785,0.01392535,0.40624,0.0001147484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6260242,0.01234886,0.001398325,0.1441301,0.0005113206,0.0002335087,0.002214733,0.00004858663,0.2130903],"genre_scores_gemma":[0.9699008,0.006367352,0.0007217023,0.002523188,0.000148439,0.00003491945,0.0004857167,0.00001000786,0.01980785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06080825,"threshold_uncertainty_score":0.4411968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412149798170597,"score_gpt":0.2091354051661864,"score_spread":0.1679204253491267,"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."}}