{"id":"W3025942312","doi":"10.1016/j.econlet.2020.109220","title":"Advertising expenses and operational performance: Evidence from the global hotel industry","year":2020,"lang":"en","type":"article","venue":"Economics Letters","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Business; Operating expense; Sample (material); Marketing; Frontier; Econometrics; Advertising; Industrial organization; Economics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001908964,0.0004644738,0.0003778441,0.002061998,0.0003084028,0.00208296,0.0003511578,0.0005284655,0.003011355],"category_scores_gemma":[0.006499621,0.0001330239,0.0008275846,0.003301219,0.001236053,0.0007996244,0.0006733134,0.000756418,0.0003434638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009412456,"about_ca_system_score_gemma":0.0005744083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002688,"about_ca_topic_score_gemma":0.02465812,"domain_scores_codex":[0.9993641,0.0002541333,0.00004438712,0.00007641882,0.0001509274,0.0001100519],"domain_scores_gemma":[0.9861305,0.009391595,0.002774004,0.0004954748,0.0006525838,0.0005559018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226488,0.0003741017,0.9530161,0.0002784562,0.0008675592,0.0005925653,0.0005149868,0.005619055,0.0006797573,0.003181213,0.001004435,0.03264537],"study_design_scores_gemma":[0.00003340594,0.0003192672,0.991335,0.00005573244,0.0004587778,0.0001291735,0.002111078,0.001976453,0.0004776013,0.001646293,0.001435168,0.00002211494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906061,0.002596514,0.0003647485,0.0003957769,0.000008783897,0.000007178629,0.0002274272,0.000005667477,0.005787852],"genre_scores_gemma":[0.9983108,0.0007828357,0.00007651809,0.00004738415,0.00001693638,0.000001768393,0.0002368336,0.000002702628,0.0005242752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02002688,"threshold_uncertainty_score":0.03982061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009410527810234,"score_gpt":0.3255375355858171,"score_spread":0.2245964828047937,"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."}}