{"id":"W4226352575","doi":"10.1079/tourism.2022.0019","title":"Supporting Informed Destination Development Using Visitor Intelligence","year":2022,"lang":"en","type":"article","venue":"Tourism Cases","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Visitor pattern; Marketing; Tourism; Logo (programming language); Destinations; Excellence; Market segmentation; Business; Public relations; Advertising; Geography; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001280851,0.00009227264,0.0001075589,0.0002114237,0.002258862,0.000141292,0.0003878008,0.00003173344,0.002633547],"category_scores_gemma":[0.001402296,0.0001070609,0.00004196081,0.0004492146,0.0001241623,0.0003813521,0.0003803091,0.0002002008,0.00005300346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000692594,"about_ca_system_score_gemma":0.001313947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003531429,"about_ca_topic_score_gemma":0.0002752418,"domain_scores_codex":[0.9977871,0.0001686862,0.0002647058,0.0001995893,0.001059662,0.0005202424],"domain_scores_gemma":[0.9990631,0.0003873034,0.0001506711,0.0001265754,0.0001238605,0.0001484304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003373864,0.001202331,0.02991833,0.0001745315,0.0002183706,0.02283731,0.1648909,0.01094263,0.001921528,0.02128228,0.1231325,0.6231419],"study_design_scores_gemma":[0.0006079042,0.0003697239,0.004494449,0.000086828,0.00005379468,0.0002006823,0.202696,0.003063393,0.01474592,0.004649342,0.7676343,0.001397638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673367,0.0000744088,0.0007071806,0.0005838316,0.0003955723,0.000353929,0.000005429464,0.0001456015,0.03039733],"genre_scores_gemma":[0.989962,0.000008412569,0.00596784,0.00008724809,0.0003054951,0.00002899963,0.000007755851,0.00001056741,0.003621689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6445018,"threshold_uncertainty_score":0.9990401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08735002772921698,"score_gpt":0.415657453666308,"score_spread":0.328307425937091,"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."}}