{"id":"W4281661015","doi":"10.34190/ictr.15.1.253","title":"Developing a Destination Management Information System: A Case Study of Ottawa, Canada","year":2022,"lang":"en","type":"article","venue":"International Conference on Tourism Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Destinations; Destination management; Tourism; Business; Adaptation (eye); Process management; Marketing; Computer science; Knowledge management; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268466,0.000482027,0.0003968774,0.001763618,0.01821522,0.006444978,0.002351403,0.001783688,0.003881531],"category_scores_gemma":[0.005255396,0.0004055021,0.0004652138,0.005630236,0.00424823,0.00228248,0.003519827,0.00180722,0.0005553846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1042052,"about_ca_system_score_gemma":0.1137491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911337,"about_ca_topic_score_gemma":0.9969631,"domain_scores_codex":[0.9965346,0.0008150454,0.0001859092,0.0002956531,0.001008307,0.001160494],"domain_scores_gemma":[0.9942572,0.001280056,0.0002809588,0.0002256104,0.002092172,0.001863982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005605966,0.001682976,0.2190509,0.00199232,0.0002061321,0.03747375,0.5431293,0.006721891,0.005111227,0.04473496,0.03737704,0.1019588],"study_design_scores_gemma":[0.00005746335,0.0002850665,0.07896934,0.0006585047,0.00009590401,0.001331924,0.7623724,0.004109219,0.001430024,0.0009110816,0.1496124,0.0001666092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438519,0.001080618,0.001359983,0.005030464,0.00005213807,0.0006740324,0.001128758,0.00006405041,0.04675804],"genre_scores_gemma":[0.9725236,0.00161827,0.003985595,0.001005262,0.000008853993,0.0001435064,0.000724666,0.00005365757,0.01993667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042052,"threshold_uncertainty_score":0.7560654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1476061840316181,"score_gpt":0.4162585708665858,"score_spread":0.2686523868349677,"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."}}