{"id":"W1509712455","doi":"","title":"Provincial and Territorial On-Line Tourism: How Can Canadian Provinces and Territories Are Using the Internet for Travel Marketing and Promotion","year":2007,"lang":"en","type":"article","venue":"Academy of Marketing Studies journal","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Promotion (chess); Government (linguistics); Marketing; Commission; The Internet; Advertising; Business; Political science; Politics; Finance","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01810147,0.0001727689,0.0002921742,0.0002051626,0.001815044,0.0003119119,0.0002369299,0.0001500543,0.000002692697],"category_scores_gemma":[0.009276828,0.0001293208,0.00004477981,0.0001076909,0.0009572559,0.000260533,0.0001435724,0.0005507415,1.876321e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882463,"about_ca_system_score_gemma":0.0002409032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01958808,"about_ca_topic_score_gemma":0.102326,"domain_scores_codex":[0.9975165,0.0007185421,0.0003118134,0.0002677104,0.000586127,0.0005993264],"domain_scores_gemma":[0.996742,0.002371991,0.0003874943,0.00004192662,0.0001990672,0.0002574991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008259168,0.0002379983,0.4849885,0.001774514,0.001844277,0.0003434115,0.08481818,0.000009743348,0.001098303,0.002640258,0.05150291,0.3624827],"study_design_scores_gemma":[0.004020339,0.001159114,0.5971227,0.003480899,0.0004175044,0.0002033696,0.3477919,0.0006253503,0.001149581,0.003589362,0.03927981,0.001160005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574849,0.001159827,0.00002096342,0.03954533,0.0007444449,0.0006609656,0.00003608999,0.00001102824,0.0003364471],"genre_scores_gemma":[0.9922128,0.0007640778,0.0009430007,0.00006832917,0.005737216,0.000006205621,4.393775e-7,0.00001518504,0.0002527584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3613227,"threshold_uncertainty_score":0.9994845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07009427212813493,"score_gpt":0.3629682159429821,"score_spread":0.2928739438148471,"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."}}