{"id":"W2747448642","doi":"10.1108/whatt-06-2017-0027","title":"Reflections on the theme issue outcomes: the hospitality and tourism industry in Canada","year":2017,"lang":"en","type":"article","venue":"Worldwide Hospitality and Tourism Themes","topic":"Hospitality and Tourism Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Tourism; Originality; Hospitality; Value (mathematics); Hospitality industry; Sociology; Public relations; Contrarian; Engineering ethics; Social science; Political science; Qualitative research; Computer science; Business; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001052366,0.0004025159,0.0003982892,0.0001097762,0.002101125,0.001089529,0.0008145546,0.0002431939,0.0001716905],"category_scores_gemma":[0.0006596748,0.0002481102,0.000097661,0.0002412809,0.0004280357,0.0009833829,0.0004321209,0.001216048,0.00002459889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403147,"about_ca_system_score_gemma":0.0001811109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7309132,"about_ca_topic_score_gemma":0.5157529,"domain_scores_codex":[0.9978993,0.00007860586,0.0004823712,0.0005569752,0.0004488985,0.0005338432],"domain_scores_gemma":[0.9977723,0.0003353471,0.0004799039,0.001266269,0.00009323392,0.00005299851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003768657,0.0002869781,0.8101938,0.0001043007,0.0001578232,0.00005367253,0.001703185,0.00001066823,0.000004790511,0.1347887,0.04277152,0.009886822],"study_design_scores_gemma":[0.0003850382,0.00001620272,0.889012,0.00007882203,0.00005027741,0.000001869363,0.01049304,0.00006366876,0.00002265623,0.05952709,0.03997121,0.0003780852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142431,0.0002200122,0.000003369598,0.140286,0.0009159853,0.0005404531,0.000010756,0.00004340817,0.0437369],"genre_scores_gemma":[0.9884817,0.00007500182,0.00001810273,0.008190327,0.001220221,0.0001056211,0.000008668352,0.00003149815,0.001868841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2151603,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836276390680992,"score_gpt":0.281967954124156,"score_spread":0.2536051902173461,"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."}}