{"id":"W6957960216","doi":"10.6068/dp14ba86b584326","title":"Trend 1990 - 2001. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, commercial services by industry | Variable: Payments, Communications services (x 1,000,000), Energy and metallic minerals | Units: $CAD, 1990-2001. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-132.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; International comparisons; Goods and services; Service (business); Summary statistics; Census; National accounts","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":[0.001855685,0.002523194,0.002597321,0.008999868,0.003343349,0.005178457,0.00488366,0.001462351,0.09252368],"category_scores_gemma":[0.01591436,0.001703832,0.001933687,0.04325458,0.0006170492,0.002711342,0.002230374,0.00312783,0.0598565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04649643,"about_ca_system_score_gemma":0.1238183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935247,"about_ca_topic_score_gemma":0.9913429,"domain_scores_codex":[0.9960084,0.0002214213,0.0004061406,0.0005320219,0.001910637,0.0009212721],"domain_scores_gemma":[0.9692606,0.000951751,0.0009626006,0.000904472,0.02651925,0.001401315],"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":[0.0000235603,0.000006034207,0.0009024247,0.0002162096,0.00001838032,0.000006868624,0.00001701899,0.00009934783,0.00000796766,0.0003345581,0.9968801,0.001487562],"study_design_scores_gemma":[0.0001383386,0.00001171718,0.02097062,0.0007933396,0.00006275862,0.00002664379,0.0004026827,0.0004455143,0.0001659211,0.0005853584,0.9763216,0.00007544441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005017595,0.00004731478,0.00001758865,0.0001030075,0.00002497183,0.00001049536,0.9988249,0.00005129099,0.0008702595],"genre_scores_gemma":[0.0006760756,0.0002586762,0.0002654141,0.0001260525,0.00001532066,0.00008130509,0.9945478,0.00009694561,0.003932321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09252368,"threshold_uncertainty_score":0.3373568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021354853956894,"score_gpt":0.2642910464156968,"score_spread":0.2340774978761279,"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."}}