{"id":"W6939288685","doi":"10.6068/dp14ba83a69107","title":"Trend 1961 - 2012. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, transportation by category | Variable: All countries (x 1,000,000), Water transport, freight, Balances | Units: $CAD, 1961-2012. 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; Service (business); Goods and services; Summary statistics; Census; International comparisons; 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":[0.001812257,0.002490516,0.002418505,0.008258598,0.003029326,0.005049748,0.004778498,0.001440244,0.1167952],"category_scores_gemma":[0.01737696,0.001663691,0.001838994,0.04105032,0.0006489457,0.0027895,0.00219509,0.00292354,0.07866151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04271496,"about_ca_system_score_gemma":0.1108617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919189,"about_ca_topic_score_gemma":0.9892064,"domain_scores_codex":[0.9962562,0.0002139955,0.0003626026,0.0005223571,0.001767645,0.0008772201],"domain_scores_gemma":[0.9709995,0.001078757,0.0009053756,0.001004164,0.0246211,0.001391146],"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":[0.00001797676,0.000005150428,0.0006936709,0.0001700413,0.00001371611,0.000005254701,0.00001340919,0.00009615703,0.0000076323,0.0003019641,0.9973809,0.001294011],"study_design_scores_gemma":[0.0001181872,0.000009170162,0.01436393,0.000661727,0.00004389496,0.00001992104,0.0003030769,0.0003925213,0.0001557364,0.0005909071,0.9832752,0.0000657099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003788016,0.0000371751,0.00001955393,0.00008859691,0.00002280314,0.000009671327,0.9988398,0.00006221882,0.0008823918],"genre_scores_gemma":[0.0005943466,0.0002172163,0.0002980019,0.0001188846,0.00001526903,0.00007969329,0.9943772,0.000121005,0.004178384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1167952,"threshold_uncertainty_score":0.390719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593748580054433,"score_gpt":0.230637161076823,"score_spread":0.2146996752762787,"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."}}