{"id":"W6901590666","doi":"10.6068/dp14ba888da2291","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Travel and Tourism - Tourism Indicators | Country: Canada | Table: Travel survey of residents of Canada, travel characteristics, by province visited | Variable: Mode of transportation, recreation vehicle, private and/or rented, Overnight visits | Units: # Person-visits x 1,000, 2006-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-201.","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; Recreation; Descriptive statistics; Gross domestic product; Official statistics; Socioeconomic status; Statistical analysis; Product (mathematics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001327093,0.00140945,0.002705356,0.0004214068,0.0002230014,0.0001350927,0.002141279,0.0009097761,0.001131329],"category_scores_gemma":[0.0004142605,0.001411613,6.437959e-7,0.0009528003,0.0004654911,0.0005082234,0.0001927893,0.001083391,0.000002974047],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006269258,"about_ca_system_score_gemma":0.03423459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999918,"about_ca_topic_score_gemma":0.9999621,"domain_scores_codex":[0.9900267,0.001030742,0.002740951,0.00190599,0.003071118,0.00122449],"domain_scores_gemma":[0.9903129,0.001130916,0.004170056,0.002726812,0.0004841805,0.001175116],"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":[0.001223295,0.0002261047,0.0009498203,0.001900366,0.0008570658,0.0004387319,0.00001988822,0.00001063593,0.0001804694,0.00005931801,0.9940336,0.0001006624],"study_design_scores_gemma":[0.002631144,0.0002064886,0.0220329,0.0003000778,0.001131746,0.00005651108,0.0002255862,0.002949534,0.000004536416,1.085597e-7,0.9690748,0.001386579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008094527,0.001513848,0.00004091549,0.000003680858,0.0005073738,0.001493383,0.9960787,0.00003441565,0.0002467574],"genre_scores_gemma":[0.0005234005,0.0009864045,0.0001727971,0.00006922151,0.0001002389,0.00001837808,0.9915371,0.0005496694,0.006042806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03360766,"threshold_uncertainty_score":0.9998656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698464322089155,"score_gpt":0.2304364835083915,"score_spread":0.2134518402874999,"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."}}