{"id":"W2909975494","doi":"","title":"Creating synergies between cultural policy and tourism for permanent and temporary citizens","year":2018,"lang":"en","type":"article","venue":"Research portal (Tilburg University)","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Political science; Economy; Urban policy; Tourism geography; Cultural tourism; Cultural policy; Economic growth; Urban planning; Regional science; Geography; Economics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005060116,0.0003729058,0.0003197954,0.002030076,0.004971151,0.01431793,0.000970816,0.002786657,0.01325782],"category_scores_gemma":[0.005477051,0.0002759274,0.0005455872,0.00236726,0.01108141,0.01011828,0.01708931,0.002497949,0.0008296603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004937978,"about_ca_system_score_gemma":0.01392909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872269,"about_ca_topic_score_gemma":0.01189522,"domain_scores_codex":[0.9967434,0.00193503,0.00006022828,0.0001514691,0.0003089081,0.0008009183],"domain_scores_gemma":[0.9964983,0.00153008,0.0003641332,0.0003894622,0.0002311203,0.0009868748],"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":[0.00006410494,0.0001439152,0.004001669,0.0003761732,0.00004278532,0.0003913663,0.01572507,0.002066441,0.0005327261,0.8792661,0.006683807,0.09070583],"study_design_scores_gemma":[0.00003922366,0.000160312,0.01295681,0.001567104,0.00006204667,0.0002440446,0.1280799,0.002231201,0.0008631494,0.4825307,0.3711854,0.00008004794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2136426,0.005898939,0.01822215,0.05650742,0.0007810436,0.0001426654,0.00009023384,0.0001262034,0.7045888],"genre_scores_gemma":[0.9840745,0.002184079,0.002932123,0.001290831,0.0001103615,0.00006615285,0.00003198638,0.00002726969,0.00928263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01431793,"threshold_uncertainty_score":0.04435188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426282718364155,"score_gpt":0.3012152085957843,"score_spread":0.2369523814121428,"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."}}