{"id":"W6940683924","doi":"10.11575/prism/40650","title":"Reducing Emissions, Not Cows: Regulatory Policies to Mitigate Methane","year":2022,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Greenhouse gas; Subsidy; Methane emissions; Carbon offset; Agriculture","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":[0.00661019,0.0003228668,0.0002924588,0.001796318,0.001368495,0.002986131,0.00175957,0.001841357,0.004739794],"category_scores_gemma":[0.01199532,0.0001513646,0.0004583795,0.003330829,0.002326597,0.001361103,0.001136493,0.001757768,0.0005158751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02167206,"about_ca_system_score_gemma":0.08340658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6587235,"about_ca_topic_score_gemma":0.7448457,"domain_scores_codex":[0.9949611,0.00114121,0.0002534333,0.0003875879,0.002601763,0.0006547438],"domain_scores_gemma":[0.9879811,0.003750641,0.001142875,0.0005445531,0.006088104,0.0004926637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00022218,0.0001455681,0.01153792,0.009957089,0.0001552223,0.0004959011,0.002516103,0.004129923,0.00610207,0.281799,0.1597996,0.5231393],"study_design_scores_gemma":[0.00003021801,0.00004095767,0.009117186,0.003788862,0.00008780153,0.00007049846,0.001033667,0.0002698863,0.00190492,0.00613481,0.9774861,0.00003497944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03897121,0.2691142,0.01363928,0.1961059,0.002647348,0.0005536365,0.006010863,0.0006003401,0.4723573],"genre_scores_gemma":[0.519277,0.2742966,0.03688796,0.09976745,0.000694974,0.0005488867,0.003332284,0.0001860211,0.06500889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3412765,"threshold_uncertainty_score":0.6865726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181086031820982,"score_gpt":0.1961187434877788,"score_spread":0.1843078831695689,"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."}}