{"id":"W2092129070","doi":"10.1177/1356766712457672","title":"Facing divergent supply and demand trajectories in Australian caravanning","year":2013,"lang":"en","type":"article","venue":"Journal Of Vacation Marketing","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accommodation; Tourism; Recreation; Shire; Dominance (genetics); Economic shortage; Business; Supply and demand; Geography; Economy; Economics; Political science; Government (linguistics); Archaeology","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":[0.002017356,0.00005877015,0.0001213326,0.0001173477,0.0003272913,0.00009883473,0.00006640741,0.00003485927,0.000115921],"category_scores_gemma":[0.000656547,0.00005271982,0.00002947132,0.0001322127,0.00004551314,0.0004420996,0.00001371529,0.0001089744,0.000001630935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000622228,"about_ca_system_score_gemma":0.00005146694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004207375,"about_ca_topic_score_gemma":0.001800229,"domain_scores_codex":[0.9989946,0.0002557219,0.000308403,0.00007083576,0.000220402,0.0001500077],"domain_scores_gemma":[0.9992422,0.000225687,0.0002627684,0.00002972029,0.0001754293,0.00006421649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007625517,0.000008953441,0.8200186,0.00001580746,0.00001294352,0.000001606842,0.1730399,0.00003608582,0.000423114,0.00008511757,0.002475091,0.003875123],"study_design_scores_gemma":[0.0001565242,0.00001148006,0.9829831,0.00009087485,0.00001012768,0.000002205336,0.01286344,0.00003604062,0.00005651444,0.0003074778,0.003419079,0.00006317789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996794,0.0005881783,0.0001746246,0.00146358,0.0001937526,0.00008511325,3.296942e-7,0.000005970179,0.0006944935],"genre_scores_gemma":[0.9973125,0.0007092899,0.000977995,0.00002088217,0.0002884019,0.000002351881,2.850794e-7,0.00000339709,0.0006848419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1629644,"threshold_uncertainty_score":0.6360321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516558566074817,"score_gpt":0.2800280923056099,"score_spread":0.2648625066448617,"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."}}