{"id":"W6976629394","doi":"10.6068/dp15e757fa71246","title":"Trend 1970 - 2014. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Macrostatistics - Key Indicators | Country: Canada | Item: Gross Domestic Product | Element: Value US$ - millions, 1970-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-073.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Gross domestic product; Per capita; European union; Gross fixed capital formation; Product (mathematics); Population; Investment (military)","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":[0.001745048,0.001747095,0.00180501,0.005700413,0.001014832,0.003172232,0.003048807,0.00109404,0.08989406],"category_scores_gemma":[0.01241445,0.001081797,0.001153577,0.02478746,0.0003801934,0.002811043,0.001841909,0.00260351,0.08500618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006435989,"about_ca_system_score_gemma":0.0174422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6020453,"about_ca_topic_score_gemma":0.5106644,"domain_scores_codex":[0.997825,0.0001938315,0.0002719124,0.0003826181,0.0009178837,0.0004086471],"domain_scores_gemma":[0.9876445,0.0009576444,0.0009038181,0.000780872,0.009147816,0.0005653298],"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":[0.00001760359,0.000007468479,0.000738316,0.0002017564,0.00001440961,0.000004839159,0.000008989928,0.00008283501,0.00001188177,0.0002944817,0.9969644,0.001653088],"study_design_scores_gemma":[0.00009420416,0.00001015458,0.01302721,0.0005285518,0.00002867612,0.00001609712,0.0001443568,0.0002174874,0.0001413029,0.0005786968,0.9851784,0.00003497451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003528436,0.00002588349,0.00002411013,0.00004450118,0.00002523471,0.000008699999,0.9992048,0.00004153634,0.0005900206],"genre_scores_gemma":[0.0002445616,0.00009837346,0.0001558485,0.00003938255,0.00001243048,0.00007052763,0.9981645,0.00005293319,0.001161541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3979547,"threshold_uncertainty_score":0.8005967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046298333193956,"score_gpt":0.2330557825851914,"score_spread":0.2225927992532518,"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."}}