{"id":"W4379518180","doi":"10.21428/594757db.c4a784aa","title":"Machine Learning for Hotel Booking Cancellations Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.00004595344,0.00005302022,0.00005248111,0.00005400942,0.00006752102,0.000009604856,0.0000278009,0.00003325017,0.00006689509],"category_scores_gemma":[0.000007307255,0.00005264622,0.0000271132,0.0001185733,0.000007743552,0.00003099351,0.000002251428,0.00006947274,0.00002944324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002018447,"about_ca_system_score_gemma":0.000003917999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166818,"about_ca_topic_score_gemma":0.00005482489,"domain_scores_codex":[0.9996749,0.000001716784,0.0000892278,0.00006337455,0.00004541226,0.0001253243],"domain_scores_gemma":[0.9998732,0.0000334386,0.000005561078,0.0000494252,0.00001209619,0.000026279],"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":[0.000002976118,0.000003516454,0.02008476,0.00006706952,0.00003165843,0.000002236794,0.0001514674,0.9630846,0.001175074,0.00387325,0.008855241,0.00266818],"study_design_scores_gemma":[0.0001253291,0.00001128098,0.00625247,0.000005100044,0.00001138501,4.334695e-7,0.00001148415,0.8960848,0.0003508438,0.0002879067,0.0967975,0.000061447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006666872,0.000258274,0.9369785,0.00004056297,0.0007400575,0.0002129002,0.0001063829,0.003205447,0.05179106],"genre_scores_gemma":[0.9934327,0.0001421316,0.001077557,0.000009997238,0.0001202814,0.00001899978,0.0002473555,0.00002307616,0.004927873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9867659,"threshold_uncertainty_score":0.2146851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291868354251896,"score_gpt":0.2048800545301138,"score_spread":0.1719613709875949,"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."}}