{"id":"W4387634799","doi":"10.1787/3483427b-en","title":"Canada: Estimates of support to agriculture","year":2022,"lang":"en","type":"other","venue":"Agricultural policy monitoring and evaluation","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural economics; Geography; Environmental science; Business; Economics; Archaeology","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":[0.00114043,0.001009354,0.0007334586,0.006159326,0.002765766,0.003641837,0.001966801,0.001568157,0.03809004],"category_scores_gemma":[0.007464861,0.0007823458,0.00105213,0.01240283,0.0006813292,0.0009198691,0.001297222,0.001562634,0.004641187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09522793,"about_ca_system_score_gemma":0.2314322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989415,"about_ca_topic_score_gemma":0.9991736,"domain_scores_codex":[0.9971508,0.0001094922,0.0001201231,0.000142902,0.001885448,0.0005912592],"domain_scores_gemma":[0.9928831,0.000395167,0.0002553332,0.000102244,0.005502752,0.0008614573],"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":[0.00008951325,0.00002958434,0.01130607,0.0004440183,0.00007925044,0.00005902386,0.0001235185,0.001246809,0.00006309237,0.008066521,0.952891,0.02560169],"study_design_scores_gemma":[0.0001648397,0.00001716904,0.1395338,0.0007329964,0.0001562391,0.00007680275,0.00101266,0.003799127,0.0007050849,0.002484044,0.8512309,0.00008632275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01357363,0.006868638,0.0007484999,0.01797587,0.0006361015,0.0002972719,0.7277346,0.0007209994,0.2314443],"genre_scores_gemma":[0.145991,0.01571795,0.005680865,0.004681685,0.0002424972,0.0005006338,0.184476,0.000670328,0.6420391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09522793,"threshold_uncertainty_score":0.6909302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494477884078968,"score_gpt":0.2693394791442943,"score_spread":0.2443947003035047,"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."}}