{"id":"W6976713421","doi":"10.6068/dp14ba7f5bb7690","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: Visits second quarter, 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; Socioeconomic status; Economic statistics; Descriptive statistics; Official statistics; Summary 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":[0.002063833,0.00247076,0.00255425,0.007790128,0.003217879,0.004445241,0.004782572,0.001313475,0.08447769],"category_scores_gemma":[0.01602368,0.001645096,0.002222706,0.03853567,0.0005865462,0.002416042,0.002124091,0.003064358,0.04667663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05425356,"about_ca_system_score_gemma":0.134632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960427,"about_ca_topic_score_gemma":0.9945419,"domain_scores_codex":[0.9960819,0.0002662482,0.0004507404,0.0004646938,0.001788175,0.0009483654],"domain_scores_gemma":[0.9696636,0.0009030334,0.000910987,0.0007165311,0.02625396,0.001551953],"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":[0.00003157062,0.000008148834,0.001488708,0.000335365,0.00002438199,0.00000826212,0.00002783871,0.000110914,0.00001060786,0.000318228,0.9953165,0.002319464],"study_design_scores_gemma":[0.0001845754,0.00002123555,0.04181202,0.001292821,0.0001085933,0.00003803806,0.0007457471,0.000615521,0.0001880968,0.0006023293,0.9542828,0.0001082184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007853504,0.00008259589,0.00003196499,0.0001501329,0.00004032611,0.0000231342,0.9983971,0.00006354602,0.001132669],"genre_scores_gemma":[0.00142326,0.0005136864,0.000559041,0.0002299375,0.00002747616,0.0001844023,0.9912361,0.0001359101,0.00569023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08447769,"threshold_uncertainty_score":0.393639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862258448387757,"score_gpt":0.2314425892306712,"score_spread":0.2128200047467936,"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."}}