{"id":"W2217976942","doi":"10.5539/ibr.v9n1p83","title":"Competitive Strategies Applying in Cultural Museums through Tourism Industry: The Case of Taiwan Hualien","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Tourism; Competition (biology); Government (linguistics); Order (exchange); Cultural tourism; Business; Process (computing); Cultural industry; Marketing; Public relations; Political science; Sociology; Economy; Computer science; Economics; Tourism geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006141,0.0002667786,0.0001880223,0.001218092,0.008336661,0.003463486,0.001242929,0.001351039,0.005049157],"category_scores_gemma":[0.00103373,0.0002746646,0.000331697,0.001701015,0.002973436,0.001557733,0.003437521,0.0009475626,0.000294099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004113696,"about_ca_system_score_gemma":0.004279805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04797344,"about_ca_topic_score_gemma":0.1318118,"domain_scores_codex":[0.9993275,0.0002572311,0.00001648821,0.00005311783,0.00005694294,0.0002887056],"domain_scores_gemma":[0.9992781,0.0002438671,0.00008673321,0.00003528073,0.00005645667,0.0002995095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001617337,0.0006395181,0.0806854,0.0004777858,0.00007037941,0.06842741,0.7802516,0.000979664,0.004031233,0.02180711,0.00454799,0.03792012],"study_design_scores_gemma":[0.00001213835,0.0001081812,0.03421574,0.0001347705,0.00003003363,0.001566206,0.9321015,0.0008722423,0.0005170221,0.0006710592,0.02974768,0.00002337924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891423,0.0001572431,0.0001086758,0.0004433818,0.000005962549,0.00002959998,0.00001099234,0.000004333513,0.01009749],"genre_scores_gemma":[0.9967529,0.0001303862,0.0001700886,0.00006427632,0.000003016994,0.00001351559,0.00001047019,0.000002670969,0.002852667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04797344,"threshold_uncertainty_score":0.09538841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2507415729117757,"score_gpt":0.4928629722661932,"score_spread":0.2421213993544175,"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."}}