{"id":"W4402474084","doi":"10.1109/ccece59415.2024.10667161","title":"Data Analytics for Resort Revenue Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Cruise Tourism Development and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Revenue management; Revenue; Analytics; Computer science; Data science; Data analysis; Business; Finance; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009431449,0.0000506746,0.00005666231,0.00008089842,0.0001775388,0.000174099,0.0004079474,0.00002241682,0.0003135914],"category_scores_gemma":[0.00002426772,0.0000467052,0.00002641637,0.0002274773,0.00003355674,0.0001545164,0.0002130979,0.00002814935,0.0001278151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000498523,"about_ca_system_score_gemma":0.00004546197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368333,"about_ca_topic_score_gemma":0.001565323,"domain_scores_codex":[0.9992401,0.0000141954,0.0001088236,0.0002407018,0.0002083552,0.000187834],"domain_scores_gemma":[0.9996027,0.00004419747,0.00001096153,0.0002846711,0.00001448586,0.00004293102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001648256,0.000006852683,0.00001551724,0.00003802425,0.00004470178,0.00001120619,0.0004539662,7.993249e-7,3.184964e-7,0.2499029,0.7016177,0.04790639],"study_design_scores_gemma":[0.00005227537,0.000003607789,0.0001115544,0.00002187138,0.00004542445,4.583353e-8,0.001113653,0.00053539,0.000001532367,0.007509966,0.9905304,0.00007423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002890453,0.0004570122,0.03772476,0.01825028,0.001429962,0.001022928,0.00009368699,0.0003118409,0.9404205],"genre_scores_gemma":[0.03466364,0.0010594,0.02192454,0.0004756188,0.000620966,0.00005652102,0.000142039,0.00001594542,0.9410414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2889128,"threshold_uncertainty_score":0.3433605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493741090575861,"score_gpt":0.4016846706261321,"score_spread":0.252310561568546,"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."}}