{"id":"W6957558514","doi":"10.6068/dp14ba812bc7211","title":"Trend 1990 - 2011. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, by selected countries | Variable: Costa Rica (x 1,000,000), Total services, receipts | Units: $CAD, 1990-2011. 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":"Official statistics; Economic statistics; Census; Service (business); International comparisons; Goods and services; 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":[0.001847039,0.002456978,0.002558852,0.008586618,0.002932837,0.005084837,0.004762252,0.00141671,0.09945431],"category_scores_gemma":[0.01620375,0.001719669,0.002023727,0.04295612,0.0005821103,0.002814295,0.002263909,0.003037269,0.06156913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04454358,"about_ca_system_score_gemma":0.1164935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916247,"about_ca_topic_score_gemma":0.9886543,"domain_scores_codex":[0.9960662,0.0002197532,0.0004308943,0.0004870267,0.001904804,0.0008913343],"domain_scores_gemma":[0.969342,0.0009711683,0.0009886363,0.0008677836,0.02645209,0.001378333],"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":[0.00002275013,0.000006110742,0.0008711325,0.0002360604,0.00001847093,0.000006288991,0.00001469724,0.00009579278,0.000007206871,0.0003481167,0.9968174,0.001555927],"study_design_scores_gemma":[0.0001348632,0.00001207626,0.02140677,0.0008754602,0.00006374082,0.00002578296,0.000372367,0.0004306358,0.0001657604,0.0005845012,0.9758529,0.00007521391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004672592,0.00005247938,0.00001700085,0.0001078463,0.00002567526,0.00001119562,0.9987258,0.00005230985,0.0009609259],"genre_scores_gemma":[0.0006991249,0.000315303,0.0002862362,0.0001387126,0.00001764746,0.00009010799,0.9938858,0.0001065807,0.004460448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09945431,"threshold_uncertainty_score":0.3327078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421680807648031,"score_gpt":0.2332673816078911,"score_spread":0.2190505735314108,"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."}}