{"id":"W6945222551","doi":"10.25318/3610013301-eng","title":"Contributions to annual percent change in real exports and imports of goods and services, Canada, annual, (NAPCS 2007), inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Goods and services; Work (physics); Product (mathematics)","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":[0.001353567,0.002287643,0.001782397,0.009647355,0.00145899,0.002986796,0.002825175,0.001156514,0.03849703],"category_scores_gemma":[0.009020902,0.000989865,0.00151858,0.02670692,0.0005352987,0.001186113,0.001365886,0.002297324,0.02850019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01837281,"about_ca_system_score_gemma":0.04910717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9698794,"about_ca_topic_score_gemma":0.973048,"domain_scores_codex":[0.9975548,0.0001116833,0.0002325697,0.0003126715,0.001242828,0.0005453759],"domain_scores_gemma":[0.991012,0.000475075,0.0005673645,0.0003872231,0.007023309,0.0005350272],"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":[0.00002984204,0.000009553793,0.001538023,0.0002528446,0.00002786049,0.000007375203,0.00001224227,0.000157477,0.00001312711,0.0002831742,0.9962425,0.001426017],"study_design_scores_gemma":[0.0001895696,0.00001228053,0.04781863,0.0005369795,0.00008338458,0.00003544693,0.000201375,0.0005535629,0.0003100699,0.0003804025,0.9498295,0.0000488487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001430832,0.000102405,0.00001991822,0.00006419492,0.00002715339,0.000009476927,0.9986153,0.00006475526,0.0009537366],"genre_scores_gemma":[0.001279125,0.0003177676,0.0001811907,0.00006206414,0.00001762715,0.0000561551,0.9922137,0.00006285181,0.005809634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03849703,"threshold_uncertainty_score":0.1333047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006838935930109617,"score_gpt":0.2950690632454989,"score_spread":0.2882301273153893,"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."}}