{"id":"W4393027480","doi":"10.48550/arxiv.2403.12678","title":"Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Air travel; Chatbot; Business; Computer science; World Wide Web; Engineering; Aviation; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001198396,0.0009360478,0.0003180966,0.0008639338,0.002552716,0.001149488,0.001023464,0.001191819,0.01428342],"category_scores_gemma":[0.005276807,0.0001846076,0.00028624,0.0004509851,0.0007691082,0.001932353,0.00177579,0.0007545188,0.002102718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114968,"about_ca_system_score_gemma":0.002924484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1455723,"about_ca_topic_score_gemma":0.2130963,"domain_scores_codex":[0.9993813,0.0002337723,0.00002884009,0.00009983028,0.0001358421,0.0001204656],"domain_scores_gemma":[0.9967353,0.00171999,0.00009471249,0.0002136856,0.0005615606,0.0006747895],"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":[0.00297718,0.001341875,0.01730971,0.002568444,0.0001262108,0.005253804,0.06704547,0.004708402,0.1233419,0.01278876,0.1910513,0.5714869],"study_design_scores_gemma":[0.0006551428,0.002294206,0.04887327,0.0009197247,0.0004442474,0.003017012,0.04584363,0.1136117,0.05524027,0.008091837,0.7202866,0.0007224731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.6410494,0.002361939,0.1756583,0.006414865,0.0009956438,0.002207021,0.003607619,0.05384218,0.1138631],"genre_scores_gemma":[0.8680344,0.0006035456,0.07205054,0.0007527242,0.000179734,0.000520581,0.002320094,0.0006285321,0.05490987],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8544278,"threshold_uncertainty_score":0.2894498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04097190888894679,"score_gpt":0.1920761400835663,"score_spread":0.1511042311946195,"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."}}