{"id":"W6938993441","doi":"10.6068/dp14baa2c896643","title":"Most Recent Data (1999). Statistics Canada. CANSIM: International Trade - Merchandise Exports | Country: Canada | Province: Nunavut | Table: Interprovincial and international trade flows at producer prices | Variable: Accommodation services and meals (x 1,000,000), International exports | Units: $CAD, 1999. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-130.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic statistics; Census; Goods and services; Summary statistics; International comparisons; National accounts; Accommodation","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":[0.001721043,0.002551069,0.002442591,0.008957812,0.003727902,0.005344552,0.004753762,0.001481481,0.09745281],"category_scores_gemma":[0.0172322,0.001519201,0.001816356,0.04827631,0.0007216611,0.002467465,0.002197529,0.002835091,0.05999258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04930603,"about_ca_system_score_gemma":0.124224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939997,"about_ca_topic_score_gemma":0.9922628,"domain_scores_codex":[0.9961681,0.000191162,0.0003932375,0.0005003139,0.001845518,0.0009017622],"domain_scores_gemma":[0.9673556,0.001178005,0.0009014392,0.0008911939,0.02829878,0.001374975],"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":[0.00001898011,0.00000646837,0.0008433156,0.0002165436,0.00001421318,0.000007146762,0.00001811825,0.0001012016,0.000008749184,0.0003152447,0.9972601,0.001189849],"study_design_scores_gemma":[0.0001137186,0.000008598427,0.01935781,0.0007021507,0.00005099345,0.0000198573,0.0004394701,0.0002841004,0.0001647758,0.0004545721,0.9783338,0.00007017059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004086613,0.00003723797,0.00001251632,0.00007805431,0.00001947253,0.000009005927,0.9989443,0.00003389436,0.0008246396],"genre_scores_gemma":[0.0006136106,0.00022369,0.0002447889,0.00009601275,0.00001248108,0.00007426787,0.9952615,0.00006413254,0.003409531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09745281,"threshold_uncertainty_score":0.357742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582728304464416,"score_gpt":0.2576773133780703,"score_spread":0.2318500303334261,"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."}}