{"id":"W3201318049","doi":"10.5539/ass.v17n10p1","title":"Gender and Age Differences in Choice of Holiday Destination: Case of Langkawi, Malaysia","year":2021,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Tourism; Context (archaeology); Promotion (chess); Selection (genetic algorithm); Variety (cybernetics); Age groups; Destinations; Advertising; Data collection; Marketing; Psychology; Geography; Business; Demography; Sociology; Social psychology; Political science; Computer science; Social science","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":[0.0005385716,0.0001821056,0.0002030952,0.0005753908,0.001132604,0.0008557608,0.0002990775,0.0003119674,0.005530555],"category_scores_gemma":[0.00110259,0.0001350454,0.0004686635,0.000556224,0.0004835756,0.0006658074,0.0006533798,0.0006582936,0.000409272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933164,"about_ca_system_score_gemma":0.0008119761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05449812,"about_ca_topic_score_gemma":0.1041105,"domain_scores_codex":[0.999697,0.0001032341,0.00001372684,0.00003040465,0.0000306326,0.0001250482],"domain_scores_gemma":[0.9992654,0.000213218,0.0001785099,0.00002555691,0.00008348631,0.0002337864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002153924,0.0002071911,0.955043,0.00005316126,0.0000300283,0.003150713,0.02819272,0.00009071461,0.0003187392,0.0007956771,0.0006164495,0.01128627],"study_design_scores_gemma":[0.000003663092,0.0001809684,0.8787733,0.00007054813,0.0000342583,0.001270121,0.1170536,0.0003395682,0.0001483642,0.0001848618,0.001922704,0.00001813302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985036,0.0001674181,0.00002561919,0.0001188994,0.00000597579,0.00000300099,0.00003065357,4.984455e-7,0.001144305],"genre_scores_gemma":[0.9983788,0.0002489577,0.00003803755,0.00002078512,0.000003199595,0.00000255504,0.00002104433,8.617147e-7,0.001285797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05449812,"threshold_uncertainty_score":0.1083618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07246113560327595,"score_gpt":0.3780866878661518,"score_spread":0.3056255522628759,"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."}}