{"id":"W7030713658","doi":"","title":"NTA Mystery Passenger Survey : Direct Award : 2024 : Quarter 1","year":2024,"lang":"en","type":"report","venue":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Service (business); Measure (data warehouse); Data collection; Quality (philosophy); Public transport","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001165694,0.0004374259,0.0002459161,0.001253874,0.0005758063,0.0008215014,0.0007874442,0.0006389868,0.04503579],"category_scores_gemma":[0.002283159,0.0003701864,0.0002027568,0.001056116,0.0001257416,0.0004979655,0.001144159,0.0005218449,0.02463936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330537,"about_ca_system_score_gemma":0.002512884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05414209,"about_ca_topic_score_gemma":0.08282858,"domain_scores_codex":[0.9992669,0.0001171289,0.00004301073,0.00008922278,0.0003076514,0.0001759797],"domain_scores_gemma":[0.998268,0.0001012293,0.0002052671,0.0001578844,0.0009072656,0.0003602959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007351232,0.0007153976,0.1593166,0.0001776967,0.00001973775,0.0001289484,0.0003905786,0.0006298874,0.002339332,0.0006394328,0.7734191,0.06148824],"study_design_scores_gemma":[0.00007192031,0.0005084003,0.6561279,0.0000478041,0.000007147453,0.0000742581,0.0006725508,0.001301041,0.001830637,0.0001527386,0.3391777,0.00002787697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1979745,0.0001704341,0.001987047,0.001720801,0.0004620448,0.004256139,0.6720512,0.0009833755,0.1203944],"genre_scores_gemma":[0.1306624,0.0002745219,0.004675192,0.0007534195,0.0001762709,0.004632004,0.4277209,0.0001971369,0.430908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05414209,"threshold_uncertainty_score":0.1506597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2987401709933374,"score_gpt":0.4838454134965535,"score_spread":0.1851052425032161,"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."}}