{"id":"W6901566125","doi":"10.6068/dp14ba85718e432","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Travel survey of residents of Canada, travel characteristics, by province visited | Variable: Type of accommodation, other paid accommodation, Overnight visits | Units: # Person-visits x 1,000, 2006-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-009.","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; Accommodation; Census; Official statistics; Hospitality; Economic statistics; Summary statistics; Descriptive statistics; Hospitality industry","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":[0.002084818,0.002597095,0.002801882,0.008583895,0.003220342,0.004787175,0.005237328,0.001407174,0.08155743],"category_scores_gemma":[0.01855516,0.001737451,0.002188364,0.04322637,0.0006634737,0.002553362,0.002188657,0.003091439,0.05126369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04917707,"about_ca_system_score_gemma":0.1298902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994936,"about_ca_topic_score_gemma":0.9935959,"domain_scores_codex":[0.9958596,0.0002710224,0.0004895265,0.0005772049,0.00183682,0.0009659259],"domain_scores_gemma":[0.969151,0.001113022,0.001017622,0.0009369485,0.02619385,0.001587576],"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":[0.00002412723,0.000005809684,0.001081595,0.0002571471,0.00002044299,0.000006777263,0.00002196141,0.0001002094,0.000009050368,0.0002952435,0.9966813,0.001496391],"study_design_scores_gemma":[0.0001644824,0.00001456308,0.02700153,0.001021729,0.00008701457,0.00003171018,0.0005501373,0.0005340287,0.0001773356,0.0006229017,0.9697019,0.00009271436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004964628,0.00004990485,0.00002301174,0.0001072593,0.00002673572,0.00001223012,0.9990185,0.00005008049,0.0006625865],"genre_scores_gemma":[0.0008027626,0.0003042425,0.000358674,0.0001479037,0.00001887249,0.0001109916,0.9947955,0.00010048,0.003360569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08155743,"threshold_uncertainty_score":0.3568063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977701075012794,"score_gpt":0.2347147042550016,"score_spread":0.2049376935048736,"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."}}