{"id":"W6939003609","doi":"10.6068/dp14ba83a626b5","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, Receipts | 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; Census; Summary statistics; 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":[0.00191547,0.00247139,0.002487554,0.008305647,0.003052124,0.004999648,0.004844587,0.001440036,0.1149439],"category_scores_gemma":[0.01821096,0.001694363,0.001870197,0.04192219,0.0006422569,0.002788056,0.002195387,0.002957363,0.07717097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0427389,"about_ca_system_score_gemma":0.1125313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919698,"about_ca_topic_score_gemma":0.9891379,"domain_scores_codex":[0.9961034,0.0002273745,0.0003944637,0.0005389029,0.001834391,0.0009015274],"domain_scores_gemma":[0.9694529,0.001133219,0.0009375121,0.001024214,0.02600741,0.001444792],"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":[0.00001817379,0.000005219791,0.0007182486,0.0001754215,0.00001411869,0.000005431354,0.00001375461,0.00009230418,0.000007567661,0.0003010357,0.9973404,0.001308406],"study_design_scores_gemma":[0.0001245738,0.000009625778,0.01583747,0.0006938307,0.00004747228,0.00002109847,0.0003128608,0.0003909651,0.0001517478,0.0006030654,0.9817396,0.00006765586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003839331,0.00003755371,0.00002078075,0.00009175123,0.00002368599,0.00001041154,0.9988402,0.00006106357,0.0008761717],"genre_scores_gemma":[0.0005900083,0.0002225333,0.0003109892,0.000124191,0.00001604597,0.00008528876,0.9943559,0.00012205,0.004172983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1149439,"threshold_uncertainty_score":0.3845255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779807598787023,"score_gpt":0.232652056372638,"score_spread":0.2148539803847677,"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."}}