{"id":"W6958093082","doi":"10.6068/dp14ba7c1cdc873","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Travel and Tourism - Tourism Indicators | Country: Canada | Table: Travel survey of residents of Canada, reallocated expenditures, by travel characteristics | Variable: Mode of transportation, all other modes, Overnight visits | Units: $CAD 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":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Census; Descriptive statistics; Economic statistics; Official statistics; Socioeconomic status; Comparability; Statistical analysis; Summary statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857072,0.00246733,0.002459398,0.008500606,0.003253564,0.00453442,0.004917566,0.001356266,0.09950899],"category_scores_gemma":[0.01415538,0.001532905,0.00213051,0.03940685,0.0006047509,0.002430459,0.002016776,0.002751032,0.0558962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04820131,"about_ca_system_score_gemma":0.1215202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946142,"about_ca_topic_score_gemma":0.9930344,"domain_scores_codex":[0.9963706,0.000224712,0.0003920528,0.0004696714,0.001639469,0.0009035527],"domain_scores_gemma":[0.9720376,0.0008380369,0.0008133959,0.0007383465,0.02414567,0.001426863],"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":[0.00002632272,0.000006685197,0.001215085,0.0002943237,0.00001941934,0.000007404053,0.00002032399,0.0001000627,0.00001082771,0.0003292206,0.9959478,0.002022665],"study_design_scores_gemma":[0.0001318639,0.00001474155,0.02929367,0.0009328784,0.00007735711,0.00003257392,0.0005000072,0.0005061802,0.0001721675,0.0005538532,0.9677012,0.00008351489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006231177,0.00006378379,0.00002810072,0.0001108566,0.00003627605,0.00001863499,0.9985525,0.00005936562,0.001068243],"genre_scores_gemma":[0.0009896284,0.0003570336,0.0004181626,0.0001542469,0.00002241405,0.0001390946,0.9927987,0.0001181501,0.005002571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09950899,"threshold_uncertainty_score":0.3497266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682826210979977,"score_gpt":0.2277578795193896,"score_spread":0.2109296174095898,"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."}}