{"id":"W2542637114","doi":"10.22215/timreview/1034","title":"Priority Systems at Theme Parks from the Perspective of Managers and Customers","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Perspective (graphical); Tourism; Theme park; Attendance; Business; Marketing; Sociology; Geography; Computer science; Political science; Archaeology; World Wide Web; Law","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":[0.001002461,0.0002236982,0.0001805787,0.0009307381,0.001738708,0.005011984,0.001035221,0.0008894175,0.01982018],"category_scores_gemma":[0.001964933,0.0001745527,0.0002346747,0.0009779792,0.0009844496,0.003349369,0.001437219,0.0008950271,0.001147645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003647125,"about_ca_system_score_gemma":0.002779955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207518,"about_ca_topic_score_gemma":0.01354573,"domain_scores_codex":[0.9991539,0.0002762949,0.00002592115,0.00008066076,0.0001878641,0.0002754041],"domain_scores_gemma":[0.9986008,0.0002030306,0.0002475882,0.00003578902,0.0004864667,0.000426349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005086792,0.000451682,0.0874693,0.001449166,0.0001159957,0.001905224,0.0327302,0.004444969,0.005269468,0.4574724,0.05809343,0.3500896],"study_design_scores_gemma":[0.00008607924,0.000769516,0.2112185,0.001193296,0.0001597147,0.002314959,0.1096815,0.01228105,0.002641264,0.2216121,0.4378919,0.0001501657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6571457,0.0166701,0.02883792,0.02341219,0.0004868402,0.0001287471,0.0003704448,0.0001541386,0.2727939],"genre_scores_gemma":[0.9754495,0.003973247,0.002873999,0.0003488245,0.0001027444,0.00002418896,0.00007885669,0.00001256661,0.01713604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982018,"threshold_uncertainty_score":0.0663051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038393227634662,"score_gpt":0.2637619421197935,"score_spread":0.2433780098434468,"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."}}