{"id":"W6901630618","doi":"10.6068/dp15dfd567e0920","title":"Trend 1970 - 2014. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Prices - Deflators | Country: Canada | Item: Value Added Deflator in Agriculture, forestry and fishery | Element: Value US$, 2005 prices -, 1970-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-063.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GDP deflator; National accounts; Agriculture; Value (mathematics); Measures of national income and output; Product (mathematics); Gross fixed capital formation; Gross domestic product; National Income and Product 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001438344,0.001896769,0.001709227,0.005236956,0.001112385,0.003156808,0.00296734,0.001205958,0.07961819],"category_scores_gemma":[0.010245,0.00105259,0.00129849,0.02038022,0.0003947048,0.002837994,0.001728725,0.002790486,0.1048093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005496662,"about_ca_system_score_gemma":0.01127951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5114178,"about_ca_topic_score_gemma":0.498444,"domain_scores_codex":[0.9981128,0.0001722804,0.0002242207,0.000413138,0.0007330394,0.0003446029],"domain_scores_gemma":[0.9891256,0.0007690148,0.0007252262,0.0007980053,0.008108794,0.0004733626],"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":[0.00001679976,0.000007218429,0.0006749161,0.0001523702,0.00001189271,0.000003858974,0.000007241548,0.00005148588,0.00001388806,0.0002070256,0.997647,0.001206239],"study_design_scores_gemma":[0.00009259392,0.000008583893,0.01017559,0.0004209569,0.00002257209,0.00001470324,0.0001371006,0.0001741333,0.0001529301,0.0004847479,0.9882825,0.00003351403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003301954,0.00002088124,0.00001901509,0.00003687852,0.0000234443,0.000006207998,0.9993095,0.00004442065,0.0005065611],"genre_scores_gemma":[0.0001595797,0.00005317485,0.0001281149,0.0000289747,0.000008376614,0.00004574225,0.9986436,0.00004643906,0.0008860705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9203818,"threshold_uncertainty_score":0.9829191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080665403648896,"score_gpt":0.2195361489988132,"score_spread":0.2087294949623243,"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."}}