{"id":"W3124394652","doi":"","title":"Restaurant VAT cut: Cheaper meal and more service?","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Service (business); Business; Quarter (Canadian coin); Meal; Wage; Full service; Agricultural economics; Tertiary sector of the economy; Monetary economics; Economics; Labour economics; Advertising; Commerce; Marketing; Food science; Geography","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":[0.001612066,0.0004383652,0.001127263,0.0006687368,0.000741842,0.001753141,0.001071897,0.001544389,0.01373125],"category_scores_gemma":[0.01078152,0.0003162915,0.00124241,0.001092788,0.001196121,0.001315092,0.0009054957,0.002273881,0.0005724639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262901,"about_ca_system_score_gemma":0.001339528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063383,"about_ca_topic_score_gemma":0.01173855,"domain_scores_codex":[0.9983038,0.0006396633,0.00008283721,0.0003418725,0.0003407073,0.0002911132],"domain_scores_gemma":[0.9885758,0.005914101,0.004141574,0.0006367594,0.0003900012,0.0003418095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009767802,0.006064049,0.6107608,0.001631321,0.002589455,0.001298366,0.001625528,0.05151102,0.01055949,0.185433,0.01668334,0.1020758],"study_design_scores_gemma":[0.001974541,0.003995166,0.7895466,0.0002116243,0.002895034,0.0004616305,0.003967372,0.07458834,0.01853368,0.05900975,0.04458262,0.0002336185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762816,0.0006549104,0.005599346,0.002214278,0.0001274302,0.0001450939,0.002208774,0.00008094421,0.01268762],"genre_scores_gemma":[0.995535,0.0001362056,0.001248245,0.0002992082,0.00005580265,0.0000547453,0.0006741215,0.00001088959,0.001985815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02063383,"threshold_uncertainty_score":0.04593557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06909170405950112,"score_gpt":0.301866098802869,"score_spread":0.2327743947433679,"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."}}