{"id":"W6957550239","doi":"10.6068/dp14ba851094048","title":"Trend 1990 - 2011. Statistics Canada. CANSIM: International Trade - Service Imports | Country: Canada | Table: International transactions in services, by selected countries | Variable: Russia (x 1,000,000), Transportation and government services, receipts | Units: $CAD, 1990-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-133.","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; Service (business); Government (linguistics); Goods and services; Census; International comparisons; Summary 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":[0.001796913,0.002437072,0.002584519,0.008406893,0.003086985,0.005050553,0.004712099,0.001446632,0.09662737],"category_scores_gemma":[0.01586007,0.001737999,0.002007188,0.04314616,0.0006004937,0.002688008,0.002225774,0.00300766,0.05871985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04680467,"about_ca_system_score_gemma":0.122987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993061,"about_ca_topic_score_gemma":0.9908246,"domain_scores_codex":[0.9960715,0.0002143367,0.0004176785,0.0004839166,0.001913101,0.0008993508],"domain_scores_gemma":[0.9698068,0.0009503014,0.0009269563,0.0008082859,0.02613988,0.001367787],"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":[0.00002359916,0.000006287762,0.0009287735,0.0002408991,0.00001932015,0.000006860514,0.00001696867,0.00009883207,0.000007582289,0.0003553644,0.9967727,0.001522816],"study_design_scores_gemma":[0.0001426365,0.00001256388,0.02248313,0.0009182857,0.00007030612,0.00002836314,0.0004368309,0.0004450804,0.000177361,0.0006020599,0.9746046,0.00007871344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005130107,0.0000540869,0.00001752476,0.0001075532,0.00002554733,0.00001136374,0.998726,0.00005057677,0.000956136],"genre_scores_gemma":[0.0007711029,0.0003237806,0.0002934409,0.0001395488,0.00001786413,0.00009215459,0.9939405,0.0001059523,0.004315674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09662737,"threshold_uncertainty_score":0.3395932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089500989198952,"score_gpt":0.2222618196727133,"score_spread":0.2113668097807238,"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."}}