{"id":"W2771326022","doi":"10.1177/1356766718757271","title":"Collaborative approaches to government travel advisories in Australia between Australia’s travel industry leadership and the Australian Department of Foreign Affairs and Trade, 2003–2017","year":2018,"lang":"en","type":"article","venue":"Journal Of Vacation Marketing","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Government (linguistics); Charter; Context (archaeology); Public relations; Marketing; Business; Negotiation; Stakeholder; Ministry of Foreign Affairs; Political science; Public administration; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.007337191,0.0001497969,0.0003506148,0.0001424695,0.0002536333,0.0001475349,0.0003265472,0.0002015323,0.00006811062],"category_scores_gemma":[0.00164983,0.0001185379,0.0000460593,0.0005966712,0.000894853,0.0004061941,0.00005226126,0.0004852081,0.000001510981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154392,"about_ca_system_score_gemma":0.0002138539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004002588,"about_ca_topic_score_gemma":0.0004375247,"domain_scores_codex":[0.9969118,0.0009417724,0.0005830931,0.0001969507,0.0009854482,0.0003808968],"domain_scores_gemma":[0.9983428,0.0005280842,0.0005655325,0.0001153368,0.000211072,0.0002371743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004878793,0.0004997752,0.7459773,0.0004039626,0.0007458755,0.00007703,0.145018,0.00007893869,0.0007760082,0.03912571,0.04646984,0.01594869],"study_design_scores_gemma":[0.001262595,0.0001942997,0.7387718,0.0001830325,0.00005854276,0.000004169688,0.2572334,0.000007655841,0.0007782546,0.0005633358,0.0008099806,0.0001328829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755537,0.00006735815,0.00003202467,0.01549817,0.00009180112,0.0007358603,0.00004142005,0.000003310887,0.007976394],"genre_scores_gemma":[0.9961017,0.00004994194,0.001459117,0.00002174848,0.000388978,0.000009846865,0.000001155777,0.000008334498,0.001959127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122154,"threshold_uncertainty_score":0.4833835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2165813681752749,"score_gpt":0.3563245693845262,"score_spread":0.1397432012092512,"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."}}