{"id":"W6920305533","doi":"10.6068/dp14ba8378fa432","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Travel and Tourism - Domestic Travel | Country: Canada | Table: Travel survey of residents of Canada, travel characteristics, by province visited | Variable: Type of accommodation, other unpaid accommodation, Total visits | Units: # Person-visits x 1,000, 2006-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-199.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Census; Economic statistics; Socioeconomic status; Official statistics; Descriptive statistics; Summary statistics; Statistical analysis; Travel behavior","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002160992,0.002423253,0.002528268,0.00747287,0.003102315,0.004409657,0.004882509,0.001320322,0.09112101],"category_scores_gemma":[0.01734029,0.001661094,0.002134757,0.03815399,0.0005913968,0.002470883,0.002055155,0.002981146,0.05035341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04827138,"about_ca_system_score_gemma":0.1234122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950958,"about_ca_topic_score_gemma":0.9933214,"domain_scores_codex":[0.9962288,0.000274879,0.0004367741,0.0004839921,0.001697059,0.0008784638],"domain_scores_gemma":[0.9696876,0.001039998,0.0008921,0.0008088798,0.02603591,0.001535538],"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":[0.00002928463,0.000007202343,0.00129622,0.0002983585,0.00002175452,0.000007395,0.00002429537,0.0001070021,0.00000938852,0.0002993849,0.9957826,0.002117021],"study_design_scores_gemma":[0.000188834,0.00001904108,0.03409689,0.001219298,0.00009718952,0.00003407222,0.0006290586,0.0005964008,0.0001702623,0.0006237996,0.9622229,0.0001022477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006289153,0.0000626923,0.00003023024,0.0001324971,0.0000360516,0.00002013021,0.9986115,0.0000615608,0.0009824764],"genre_scores_gemma":[0.001150357,0.000413397,0.0005233746,0.000202155,0.00002419361,0.0001701843,0.9925979,0.0001310024,0.004787313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09112101,"threshold_uncertainty_score":0.350235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744780816264833,"score_gpt":0.2497362134021806,"score_spread":0.2222884052395323,"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."}}