{"id":"W3196237001","doi":"10.2139/ssrn.3665366","title":"Field Experiments (and the Lack of Thereof) for Testing Revenue Strategies in the Hospitality Industry","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Hospitality; Field (mathematics); Revenue; Hospitality industry; Marketing; Business; Industrial organization; Engineering; Accounting; Tourism; Political science; Mathematics; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01760093,0.001423666,0.0009513932,0.001159414,0.002814847,0.001395415,0.003555836,0.002709789,0.0135952],"category_scores_gemma":[0.02950658,0.0008422125,0.001077091,0.001193674,0.00298098,0.004134275,0.001181174,0.003154431,0.002270631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659567,"about_ca_system_score_gemma":0.002397398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008177995,"about_ca_topic_score_gemma":0.01116509,"domain_scores_codex":[0.987263,0.009080078,0.0005782986,0.001341759,0.001111183,0.0006255491],"domain_scores_gemma":[0.9075649,0.07103779,0.005920694,0.009271221,0.003485157,0.002720292],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.03265125,0.3931906,0.1173307,0.00290789,0.001039289,0.0006238324,0.005436301,0.01125909,0.1146992,0.04821549,0.02132937,0.251317],"study_design_scores_gemma":[0.01918498,0.4903457,0.2191727,0.001207864,0.001553159,0.001084132,0.01143882,0.02800139,0.1197303,0.05177734,0.0554685,0.001035105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931218,0.0005090072,0.02944615,0.001468765,0.0005627381,0.005555457,0.001348297,0.0002755515,0.02961609],"genre_scores_gemma":[0.9209569,0.000657976,0.05138884,0.002983265,0.0003111014,0.01096992,0.001366546,0.0001233091,0.01124211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.982399,"threshold_uncertainty_score":0.09308368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06288997789243415,"score_gpt":0.3043092248376221,"score_spread":0.241419246945188,"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."}}