{"id":"W2212514950","doi":"10.2139/ssrn.1616743","title":"Profiling of Canadian Travelers to Asian Travel Destinations","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Destinations; Profiling (computer programming); Advertising; Geography; Business; Tourism; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004404104,0.0004131034,0.0002594139,0.002475203,0.002834335,0.001497401,0.0006957163,0.0003396303,0.003659672],"category_scores_gemma":[0.001194113,0.0001690296,0.0004046884,0.00637235,0.0003749507,0.0003073133,0.000682088,0.0004311769,0.0005590005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009850186,"about_ca_system_score_gemma":0.01279847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894498,"about_ca_topic_score_gemma":0.9961356,"domain_scores_codex":[0.9994622,0.00004202328,0.00001856777,0.00006287197,0.0002015148,0.0002128717],"domain_scores_gemma":[0.9987135,0.00004692071,0.0001162007,0.00001848724,0.0009263626,0.0001785354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006899854,0.00009223243,0.9049571,0.0002645296,0.0001221116,0.0003995718,0.01375079,0.0007195358,0.00710773,0.000549352,0.009494704,0.06185231],"study_design_scores_gemma":[0.000003272215,0.00004612857,0.9765841,0.0000504977,0.00003682172,0.0001074015,0.01432534,0.0005173213,0.0006296674,0.00002867028,0.007635706,0.00003506102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864158,0.0004734226,0.0004797973,0.0002188231,0.00002136757,0.00007499554,0.003681035,0.00002280846,0.008611904],"genre_scores_gemma":[0.9871852,0.000809875,0.001253982,0.0001310461,0.000009541057,0.00004205643,0.00197452,0.0000172731,0.008576535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105502,"threshold_uncertainty_score":0.07146847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351710492380034,"score_gpt":0.2633885557195932,"score_spread":0.2398714507957929,"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."}}