{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004154156,0.000114893,0.0001547542,0.0006114417,0.0007320459,0.0002911213,0.0001663529,0.00007671948,0.0000793079],"category_scores_gemma":[0.0001664082,0.0001063189,0.0000405046,0.0003884941,0.0003038959,0.001326286,0.0003681684,0.0001514037,0.00001923014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000258134,"about_ca_system_score_gemma":0.00004746655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628256,"about_ca_topic_score_gemma":0.00008164978,"domain_scores_codex":[0.9990636,0.000008049798,0.0001110542,0.0002750243,0.0001571579,0.0003851239],"domain_scores_gemma":[0.9993992,0.0001548559,0.00006514638,0.0001172066,0.0002157145,0.00004788616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002852906,0.0000651426,0.5649292,0.0007422206,0.0002708288,0.000349802,0.0008870836,0.000002711893,0.0004422626,0.3782828,0.03249316,0.02124952],"study_design_scores_gemma":[0.002163073,0.0002023977,0.1507824,0.000278973,0.00009372698,0.00001908856,0.01410949,0.001213045,0.0003484641,0.01919837,0.810814,0.0007769163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440182,0.00003270252,0.00001803685,0.0004846929,0.00003177852,0.0002121175,0.00001243168,0.00005468555,0.1551353],"genre_scores_gemma":[0.9902853,0.00003881775,0.00007390243,0.00007259465,0.001862439,0.000001508191,0.00005210013,0.00001197199,0.007601417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7783208,"threshold_uncertainty_score":0.5630379,"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."}}