{"id":"W3149617262","doi":"","title":"Segmenting Canadian Culinary Tourists","year":2012,"lang":"en","type":"article","venue":"","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Market segmentation; Tourism; Advertising; Geography; Marketing; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001131123,0.00007378518,0.00006278432,0.000005542336,0.0002151961,0.00002638693,0.00009526114,0.00005739103,0.003544452],"category_scores_gemma":[0.000007079503,0.00002288726,0.00005016501,0.0001281665,0.00001091916,0.0001682015,0.00002763494,0.00006200896,0.0004428249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002355058,"about_ca_system_score_gemma":0.000005083277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05056502,"about_ca_topic_score_gemma":0.09511978,"domain_scores_codex":[0.9993402,0.00001734846,0.0000806988,0.00009605724,0.00007910863,0.0003865807],"domain_scores_gemma":[0.9996058,0.00001925874,0.00001772949,0.00002572246,0.00001656764,0.0003149054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001040036,0.0002362357,0.2975062,0.000006817749,0.00003750725,0.00005755402,0.0007999942,7.738585e-7,0.08593449,0.00356246,0.3757816,0.236066],"study_design_scores_gemma":[0.00002975613,0.0000294703,0.2235829,0.000002899979,0.000004688154,0.00002367522,0.0002442478,0.000004312917,0.0008201589,0.00009416796,0.7750405,0.0001232508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366042,0.000263856,0.00000110418,0.002753805,0.0001974777,0.00006536074,0.000005685514,0.00005542329,0.1600531],"genre_scores_gemma":[0.9890261,0.00000703796,0.0002734406,0.0008566768,0.001208876,0.000003633788,0.00003876242,3.49691e-7,0.00858516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992589,"threshold_uncertainty_score":0.9973664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907874575327077,"score_gpt":0.2074900012676844,"score_spread":0.1884112555144136,"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."}}