{"id":"W3164704062","doi":"10.1126/sciadv.abd6034","title":"Natural climate solutions for Canada","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Victoria; McGill University; Ducks Unlimited Canada; University of British Columbia; University of Guelph; Agriculture and Agri-Food Canada; University of Waterloo; University of Toronto; Canadian Forest Service; Assembly of First Nations","funders":"Tula Foundation; Echo Foundation; Royal Bank of Canada; William and Flora Hewlett Foundation; George Cedric Metcalf Charitable Foundation","keywords":"Environmental science; Productivity; Greenhouse gas; Climate change mitigation; Grassland; Biodiversity; Environmental resource management; Climate change; Environmental protection; Natural resource economics; Business; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023824,0.0005353073,0.0002141259,0.001029352,0.005759466,0.003574457,0.001263307,0.002492403,0.1018404],"category_scores_gemma":[0.002241529,0.000301992,0.000522298,0.001183477,0.000438165,0.0009794291,0.00196999,0.002438207,0.01389119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02998707,"about_ca_system_score_gemma":0.1619093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9591359,"about_ca_topic_score_gemma":0.9857786,"domain_scores_codex":[0.9990382,0.00003656851,0.00001919271,0.00006351774,0.000501541,0.0003410594],"domain_scores_gemma":[0.9975943,0.000057048,0.00003305481,0.00005809987,0.001353686,0.0009038252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001459345,0.00001879836,0.0004820145,0.00005078627,0.000005363201,0.00004381483,0.000111362,0.0002891156,0.0002549194,0.0159654,0.953315,0.02944896],"study_design_scores_gemma":[0.00001065305,0.000004280126,0.001410706,0.00004942161,0.000003241669,0.00001630199,0.0001461716,0.0001812461,0.00006241921,0.00136057,0.9967442,0.0000108022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005230504,0.008265137,0.00342768,0.1145323,0.005759852,0.0003814079,0.04096452,0.002821422,0.8186171],"genre_scores_gemma":[0.02612079,0.00670884,0.009412958,0.01403394,0.000369124,0.0002768198,0.02012131,0.0005203872,0.9224358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1018404,"threshold_uncertainty_score":0.3406901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005686002502923415,"score_gpt":0.2337149008946684,"score_spread":0.2280288983917449,"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."}}