{"id":"W6938939445","doi":"10.6068/dp14ba7fb2a0010","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Travel and Tourism - Tourism Indicators | Country: Canada | Table: Travel arrangement services, summary statistics, by North American Industry Classification System (NAICS) | Variable: Travel agencies, Operating expenses | Units: $CAD x 1,000,000, 1997-2012. 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; Economic statistics; Census; Official statistics; Gross domestic product; Economic indicator; Product (mathematics); Descriptive statistics; Publication","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":[0.001869232,0.002373744,0.002455526,0.008935256,0.00337003,0.00482807,0.00484432,0.001395344,0.1142994],"category_scores_gemma":[0.01533043,0.001500956,0.002009307,0.04038354,0.0006147042,0.002589779,0.002145287,0.002832721,0.06756525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04630053,"about_ca_system_score_gemma":0.1211522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938164,"about_ca_topic_score_gemma":0.991564,"domain_scores_codex":[0.9962748,0.0002237931,0.0003648316,0.0005016374,0.001715049,0.0009198568],"domain_scores_gemma":[0.9686363,0.0009914205,0.0008292634,0.0008537914,0.0271635,0.001525684],"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":[0.00002098261,0.000005600896,0.0009290754,0.0002406649,0.00001623129,0.000006580589,0.00001848432,0.00008980726,0.000009200438,0.0003519722,0.9964784,0.001832999],"study_design_scores_gemma":[0.0001049561,0.0000107902,0.02037912,0.0007586562,0.0000572281,0.0000260105,0.0004160757,0.0004085382,0.0001445004,0.0005621309,0.9770628,0.0000691151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005188775,0.00005685124,0.00002792202,0.0001096027,0.00003339519,0.00001662275,0.9984674,0.00006431501,0.001171977],"genre_scores_gemma":[0.0008376336,0.0003019714,0.0003970897,0.0001410041,0.00002123308,0.0001254481,0.9928301,0.0001318602,0.005213651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1142994,"threshold_uncertainty_score":0.3823695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525039546081645,"score_gpt":0.2412635647143921,"score_spread":0.2160131692535756,"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."}}