{"id":"W6958027762","doi":"10.6068/dp14ba850015450","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Travel and Tourism - Domestic Travel | Country: Canada | Table: Travel survey of residents of Canada, reallocated expenditures, by travel characteristics | Variable: Reallocated expenditures, food and beverage in store, Overnight visits | Units: $CAD 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; Socioeconomic status; Economic statistics; Official statistics; Summary statistics; Descriptive statistics; Statistical analysis; Demographic statistics","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":[0.001997133,0.002475724,0.002497711,0.007187187,0.003063805,0.004393992,0.004845734,0.001322526,0.08999143],"category_scores_gemma":[0.01599259,0.001689838,0.002129698,0.03744676,0.0005784464,0.002411857,0.002000707,0.00296224,0.05041806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04832787,"about_ca_system_score_gemma":0.120639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951827,"about_ca_topic_score_gemma":0.993627,"domain_scores_codex":[0.9964423,0.0002491175,0.0004105644,0.000455413,0.001602698,0.0008400904],"domain_scores_gemma":[0.9723961,0.0009058114,0.0008236243,0.0007565952,0.02372186,0.001396085],"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":[0.00002917677,0.000007082792,0.001247942,0.0002851523,0.00002119457,0.00000720221,0.00002196805,0.0001066235,0.000009479966,0.0002904866,0.9959714,0.002002319],"study_design_scores_gemma":[0.0001924481,0.00001865124,0.03472042,0.001151936,0.00009795906,0.00003401089,0.0005971019,0.0006062848,0.0001786009,0.0006086963,0.9616925,0.0001013752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006292436,0.00006076051,0.00002777739,0.0001222969,0.00003414098,0.00001825766,0.9986802,0.00005738755,0.0009362777],"genre_scores_gemma":[0.001062128,0.0003888546,0.0004688943,0.0001797558,0.00002211164,0.0001513542,0.993175,0.0001159353,0.004436042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08999143,"threshold_uncertainty_score":0.3506449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052217816007523,"score_gpt":0.2375736934641601,"score_spread":0.2170515153040848,"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."}}