{"id":"W3046987507","doi":"10.1007/s00484-020-01979-w","title":"A comparison of the holiday climate index:beach and the tourism climate index across coastal destinations in China","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Tourism; China; Destinations; Geography; Climate change; Index (typography); Environmental resource management; Physical geography; Climatology; Environmental science; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007433405,0.0003179793,0.0003901457,0.002245345,0.0005552214,0.0008240329,0.0004383733,0.000261532,0.001046532],"category_scores_gemma":[0.0009871409,0.0002127981,0.0006293497,0.003501285,0.000406964,0.0005940393,0.0007852183,0.0002601378,0.0001450249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009313125,"about_ca_system_score_gemma":0.00110394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06498991,"about_ca_topic_score_gemma":0.1218558,"domain_scores_codex":[0.9996152,0.00005906549,0.00005746408,0.0001022959,0.00008705819,0.00007883932],"domain_scores_gemma":[0.9989929,0.0001334288,0.000223555,0.00005690819,0.0003031147,0.0002901538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003920573,0.00001583559,0.9965032,0.0000150446,0.00008385604,0.00005784117,0.0003611765,0.0001059739,0.0003963878,0.0000696616,0.0001265392,0.002225249],"study_design_scores_gemma":[0.0000013024,0.00001026841,0.9992521,0.000002107054,0.00001269299,0.0000135555,0.0003877304,0.000203563,0.00001720076,0.0000124893,0.00008436207,0.000002529261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999326,0.00006766808,0.00003862018,0.0000261027,0.000003443466,0.000003196174,0.0002238466,0.000001737364,0.0003093829],"genre_scores_gemma":[0.9993855,0.00004367677,0.00004039064,0.000008500358,0.000003723098,0.000003950305,0.000357144,0.000001308584,0.0001558493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06498991,"threshold_uncertainty_score":0.1292233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239699287679623,"score_gpt":0.3942901236821915,"score_spread":0.3618931308053953,"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."}}