{"id":"W7014236659","doi":"","title":"Options report - Reducing greenhouse gas emissions from Canadian agriculture","year":2000,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Agriculture; Climate change; Energy policy; Environmental policy; Global warming; Climate policy","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":[0.002765488,0.001077627,0.0002460683,0.003816477,0.004300674,0.004566335,0.001623051,0.002022932,0.01285889],"category_scores_gemma":[0.004691828,0.0005827686,0.0006318426,0.005803407,0.0007121063,0.001392756,0.001409168,0.00203204,0.002226678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05268769,"about_ca_system_score_gemma":0.2120829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886057,"about_ca_topic_score_gemma":0.9916391,"domain_scores_codex":[0.9927539,0.0001804978,0.0001298762,0.000149843,0.005825944,0.000959995],"domain_scores_gemma":[0.996991,0.0001578887,0.00005819623,0.00009209901,0.002368951,0.0003317998],"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":[0.00008160018,0.00007853267,0.00250672,0.0002218032,0.0000211047,0.0002041103,0.000512407,0.001283947,0.0006387939,0.02761609,0.9385043,0.02833054],"study_design_scores_gemma":[0.00003660849,0.00002040868,0.01708212,0.0001421716,0.00002303418,0.00004926816,0.0006246305,0.0004052667,0.001352034,0.00132347,0.9788947,0.00004620691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02490816,0.005414322,0.001315774,0.0243778,0.0009556053,0.001043758,0.1333518,0.0006752214,0.8079575],"genre_scores_gemma":[0.1056824,0.01401998,0.01045806,0.01002424,0.0001330815,0.001023002,0.1199295,0.0004331292,0.7382966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05268769,"threshold_uncertainty_score":0.3822777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529802547219326,"score_gpt":0.2532231752428739,"score_spread":0.2279251497706807,"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."}}