{"id":"W3017360646","doi":"10.3390/atmos11040412","title":"An Inter-Comparison of the Holiday Climate Index (HCI:Beach) and the Tourism Climate Index (TCI) to Explain Canadian Tourism Arrivals to the Caribbean","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Oceanic and Atmospheric Administration; Mitacs; European Commission","keywords":"Tourism; Index (typography); Climate change; Geography; Destinations; Preference; Environmental resource management; Climatology; Environmental science; Computer science; Economics; Oceanography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002046449,0.000298054,0.000492366,0.00002045274,0.001704227,0.0005622722,0.002668133,0.0002001469,0.0004590298],"category_scores_gemma":[0.0008007456,0.0001766334,0.0001733889,0.0009124607,0.0006791277,0.0003164311,0.0008233094,0.0007162522,0.0001279372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971305,"about_ca_system_score_gemma":0.0004411314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3639527,"about_ca_topic_score_gemma":0.5221201,"domain_scores_codex":[0.9955137,0.001124458,0.0004812075,0.0005740166,0.001073896,0.00123266],"domain_scores_gemma":[0.9972134,0.0003639985,0.0001982447,0.000919147,0.0001901671,0.001115057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007973389,0.0002058893,0.2964691,0.00009187249,0.0003013343,0.0001805007,0.3367099,0.004482203,0.0001850226,0.02569007,0.2869286,0.0479581],"study_design_scores_gemma":[0.002739582,0.0006222759,0.1600609,0.0002456245,0.0001617685,0.000004279795,0.3574718,0.006039365,0.0006613473,0.002164418,0.4686594,0.001169215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8165156,0.0002079896,0.00008091604,0.1491021,0.0004676142,0.001909486,0.0001030324,0.00007620398,0.0315371],"genre_scores_gemma":[0.9942533,0.00005807389,0.0001528975,0.004437134,0.0006477361,0.00006076488,0.000003494441,0.00004313875,0.0003434262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817308,"threshold_uncertainty_score":0.9995954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404705831712087,"score_gpt":0.3161065219502563,"score_spread":0.2920594636331354,"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."}}