{"id":"W3168091193","doi":"","title":"Tourist Visits Prediction with Fully Recurrent Neural Network","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Halal products and consumer behavior","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Diversification (marketing strategy); Destinations; Tourist destinations; Business; Geography; Quarter (Canadian coin); Marketing; Socioeconomics; Economics","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":[0.0003248723,0.0008583271,0.0006540923,0.0008217217,0.0002885253,0.0007260007,0.000990851,0.0008036523,0.002920645],"category_scores_gemma":[0.0009731803,0.0003926773,0.0009354308,0.0008483317,0.0001532429,0.000562771,0.000461853,0.001045121,0.0008982081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007041939,"about_ca_system_score_gemma":0.0005765568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05543415,"about_ca_topic_score_gemma":0.05043701,"domain_scores_codex":[0.9997832,0.00002798963,0.00001638486,0.00008129465,0.00003228221,0.00005884095],"domain_scores_gemma":[0.9997643,0.00007562205,0.00003204905,0.00001805512,0.0000863086,0.00002376023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007906503,0.001012508,0.06107115,0.000226126,0.0005008825,0.0005691578,0.0001227535,0.6839864,0.002538919,0.0008025783,0.02173182,0.226647],"study_design_scores_gemma":[0.000006462842,0.00001943956,0.003479299,0.000006544133,0.0000167294,0.00001172632,0.00001399183,0.9958692,0.0001571372,0.0001929451,0.0002198429,0.000006577695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686848,0.002521815,0.1030438,0.001387127,0.0006046719,0.0001474125,0.008007409,0.003250842,0.01235208],"genre_scores_gemma":[0.9819426,0.0002923428,0.008685514,0.00009250254,0.00008488858,0.00006139801,0.004653669,0.00002955713,0.004157525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05543415,"threshold_uncertainty_score":0.110223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155607677706621,"score_gpt":0.2736454832793525,"score_spread":0.2620894065022862,"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."}}