{"id":"W7071416239","doi":"","title":"Text mining approach to explore dimensions of national parks visitors’ experience and satisfaction using online customer reviews","year":2021,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Popularity; Customer satisfaction; Tourism; Quality (philosophy); Feeling; Schedule; Focus group; Thematic analysis; Exhibition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003194769,0.0006914486,0.0009254753,0.01107238,0.0006041952,0.00199095,0.0007335606,0.0005000748,0.001349454],"category_scores_gemma":[0.01368985,0.0002029359,0.001181339,0.0109168,0.0001978198,0.001032814,0.0005952235,0.0005636471,0.000656335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007958046,"about_ca_system_score_gemma":0.001263395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006500459,"about_ca_topic_score_gemma":0.01122208,"domain_scores_codex":[0.9959354,0.001224983,0.000888747,0.0006173135,0.00115041,0.0001830544],"domain_scores_gemma":[0.9826752,0.01139785,0.002185628,0.0005202065,0.002959132,0.0002619202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008554193,0.001122349,0.4205305,0.005570462,0.001223522,0.001918723,0.006565245,0.003670668,0.009388852,0.001475193,0.02176681,0.5259123],"study_design_scores_gemma":[0.0001424176,0.00147987,0.8146412,0.001082907,0.00140059,0.002294833,0.01795204,0.08933639,0.009152711,0.003344509,0.05895435,0.0002181365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734148,0.004010508,0.04344252,0.001146655,0.0002022983,0.003759305,0.06119937,0.001138891,0.01168567],"genre_scores_gemma":[0.8918616,0.001072098,0.06768658,0.0002359449,0.0001767397,0.00341157,0.03264422,0.00005376836,0.002857501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107238,"threshold_uncertainty_score":0.01689571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113874750408927,"score_gpt":0.3465711233929352,"score_spread":0.2351836483520426,"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."}}