{"id":"W6939304617","doi":"10.6068/dp14ba841958a82","title":"Trend 1961 - 2012. Statistics Canada. CANSIM: Travel and Tourism - International Travel | Country: Canada | Table: International transactions in services, travel by category and geographical area | Variable: All other countries (x 1,000,000), Health related, Payments | Units: $CAD, 1961-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-200.","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; Official statistics; Economic statistics; Descriptive statistics; Census; International comparisons; Socioeconomic status; Summary statistics; Statistical analysis","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":[0.0019784,0.002263303,0.002349923,0.007392635,0.002972953,0.004603383,0.004674187,0.001337754,0.1228037],"category_scores_gemma":[0.01852786,0.001584025,0.001887717,0.03778055,0.0005696779,0.002550323,0.002082617,0.002923473,0.06664351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04638839,"about_ca_system_score_gemma":0.1167024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937959,"about_ca_topic_score_gemma":0.9912751,"domain_scores_codex":[0.9962682,0.000253215,0.0004091384,0.0004774813,0.001725181,0.0008667629],"domain_scores_gemma":[0.9683044,0.001155958,0.0008951947,0.00087896,0.02718854,0.001576884],"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":[0.0000211834,0.00000603228,0.0008549137,0.000216732,0.00001509402,0.000005787339,0.00001756375,0.00009979757,0.000007501196,0.0003262704,0.9967052,0.001724016],"study_design_scores_gemma":[0.0001407947,0.00001286363,0.0218674,0.0008794493,0.00005894163,0.00002611486,0.0004299426,0.0004797344,0.0001454495,0.000621642,0.9752557,0.00008204709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000533728,0.00005110963,0.00002845168,0.0001292918,0.00003331342,0.00001819043,0.9983695,0.00006814692,0.001248613],"genre_scores_gemma":[0.0009950629,0.0003401666,0.0004762033,0.0001931621,0.00002394098,0.0001527353,0.9914842,0.0001568563,0.006177569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1228037,"threshold_uncertainty_score":0.4108193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811991150287385,"score_gpt":0.2453241855587399,"score_spread":0.227204274055866,"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."}}