{"id":"W2795093981","doi":"10.1123/jsm.2017-0207","title":"Modeling Resident Spending Behavior During Sport Events: Do Residents Contribute to Economic Impact?","year":2018,"lang":"en","type":"article","venue":"Journal of Sport Management","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economic impact analysis; Perspective (graphical); Multiplier (economics); Health spending; Economics; Economic model; Psychology; Public economics; Demographic economics; Economic growth; Macroeconomics; Microeconomics; Computer science","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":[0.001496838,0.000546384,0.0004875998,0.0007419067,0.0002813881,0.001146914,0.001113989,0.0006862564,0.002497548],"category_scores_gemma":[0.004762738,0.0003453497,0.0007969091,0.001008652,0.0005615025,0.0009136108,0.0009165717,0.0007460926,0.0002179821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164987,"about_ca_system_score_gemma":0.00123269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03292006,"about_ca_topic_score_gemma":0.04367722,"domain_scores_codex":[0.999513,0.0002441467,0.00002084363,0.00007227136,0.00004924147,0.0001004947],"domain_scores_gemma":[0.9980972,0.001191949,0.0003021985,0.0001103898,0.0001434078,0.0001548196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001840972,0.0003011937,0.5597284,0.00006289379,0.0002696347,0.0002517024,0.0004141441,0.4159993,0.0004278756,0.008272056,0.0006570567,0.0134316],"study_design_scores_gemma":[0.00002355689,0.0003741604,0.1902188,0.00005839011,0.000256687,0.0001105712,0.001257227,0.7959609,0.000401594,0.009372008,0.001923029,0.00004304916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819599,0.0001070549,0.01407277,0.0003915601,0.00001450507,0.00004708858,0.0004369219,0.00003871107,0.002931506],"genre_scores_gemma":[0.9949378,0.0001307005,0.003331461,0.00002288572,0.000008329134,0.00003904862,0.0002602031,0.00001047443,0.001259202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03292006,"threshold_uncertainty_score":0.06545687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684101930710741,"score_gpt":0.3513443544167421,"score_spread":0.3245033351096346,"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."}}