{"id":"W2007995000","doi":"10.1080/19368623.2012.746931","title":"Measuring Dimensions of Business Effectiveness in Greek Rural Tourism Areas","year":2013,"lang":"en","type":"article","venue":"Journal of Hospitality Marketing & Management","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Tourism; Rural tourism; Work (physics); Entrepreneurship; Marketing; Business; Enforcement; Globalization; Government (linguistics); Rural area; Sustainable tourism; European union; Tourism geography; Regional science; Economics; Sociology; Finance; Political science; Economic policy; Market economy","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":[0.003180414,0.000235739,0.0005175886,0.0004516711,0.0001192551,0.0001652908,0.0004078947,0.00004687269,0.00007766886],"category_scores_gemma":[0.0005580117,0.0001753014,0.0001820438,0.0007233836,0.00008532528,0.001273555,0.0004499612,0.0001888496,0.00001603552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007874239,"about_ca_system_score_gemma":0.00001127438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000896531,"about_ca_topic_score_gemma":0.00002833939,"domain_scores_codex":[0.9978013,0.0001221547,0.0009053188,0.0002099555,0.000598201,0.0003630575],"domain_scores_gemma":[0.9978409,0.0002316544,0.000963727,0.0002512342,0.0006884881,0.00002395343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000194751,0.0003548465,0.9654699,0.001651678,0.0002371228,0.000167453,0.00006747181,0.001172279,0.000187079,0.0004422879,0.001518218,0.0285369],"study_design_scores_gemma":[0.000828497,0.00002057356,0.9926168,0.001618414,0.0001037213,0.000006112612,0.001803291,0.00009248548,0.00002345494,0.00218553,0.0004904231,0.0002106767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913045,0.0004926489,0.00005031576,0.000824285,0.0006399657,0.0004272032,5.116571e-7,0.00002082811,0.006239744],"genre_scores_gemma":[0.9990267,0.0002385965,0.0002232136,0.0001460092,0.000284074,0.00001867523,0.000001240792,0.00001937398,0.00004216302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02832623,"threshold_uncertainty_score":0.7148584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135194658682629,"score_gpt":0.2140880412219093,"score_spread":0.2005685753536464,"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."}}