{"id":"W2889813307","doi":"10.1016/j.tourman.2018.08.030","title":"Knowledge agents as drivers of environmental sustainability and business performance in the hospitality sector","year":2018,"lang":"en","type":"article","venue":"Tourism Management","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Hospitality industry; Hospitality; Business; Knowledge management; Knowledge base; Sustainability; Process (computing); Hospitality management studies; Marketing; Tourism; Empirical research; Perspective (graphical); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008429911,0.000275509,0.0002458517,0.0002322491,0.0002254705,0.0001020823,0.000535733,0.00007054584,0.0003452737],"category_scores_gemma":[0.00004840371,0.0002287639,0.00005383019,0.0006652504,0.0007547005,0.0008510592,0.0008673749,0.0001291801,0.00009387496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069075,"about_ca_system_score_gemma":0.00001234285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004728471,"about_ca_topic_score_gemma":0.00004080691,"domain_scores_codex":[0.9982387,0.0000439691,0.0003946927,0.0004826155,0.0004123464,0.0004276837],"domain_scores_gemma":[0.9990802,0.00003259722,0.0001927394,0.00060849,0.00006942839,0.00001650343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363965,0.001445505,0.9488053,0.002555144,0.0000610012,0.00006774851,0.001906264,0.00008824957,0.0000190158,0.00744741,0.001257617,0.03621038],"study_design_scores_gemma":[0.0007043435,0.00003491917,0.9670691,0.00003538221,0.00005923257,0.000001605787,0.004927269,0.0004121593,0.0000172983,0.0035188,0.02297129,0.0002486353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761408,0.00006040837,0.00003361847,0.0009139567,0.0001908765,0.00118999,0.000002257625,0.00003544138,0.02143264],"genre_scores_gemma":[0.9985402,0.00006008097,0.00005809068,0.0004981032,0.0002876838,0.00007218568,0.00001266094,0.00002297575,0.0004480739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03596175,"threshold_uncertainty_score":0.9328721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007492647795429324,"score_gpt":0.2136863265354897,"score_spread":0.2061936787400604,"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."}}