{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004195507,0.00007186933,0.00008074388,0.00001338832,0.000687018,0.00004575816,0.0003036438,0.00001019629,0.000131952],"category_scores_gemma":[0.0002670881,0.0000629707,0.0000235797,0.000562705,0.00032349,0.0007582785,0.0001860348,0.00004690333,0.00005223667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553064,"about_ca_system_score_gemma":0.0002483961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04186222,"about_ca_topic_score_gemma":0.7673888,"domain_scores_codex":[0.9985375,0.00001509797,0.0001074006,0.0003464584,0.0004011479,0.0005923744],"domain_scores_gemma":[0.9995474,0.00009119228,0.00004451219,0.0002017807,0.00002518085,0.0000899053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001898332,0.00009135126,0.04588692,0.00009916671,0.000007261363,0.00005232959,0.0002496588,0.007120175,0.7372665,0.00255311,0.009862019,0.1967926],"study_design_scores_gemma":[0.000619691,0.0001019072,0.1040098,0.00006754501,0.00001558882,0.0000962047,0.0008832454,0.03584531,0.2045379,0.001356277,0.6516554,0.0008111048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771781,0.001891257,0.0006222628,0.001891485,0.005016892,0.0004584085,0.00006785918,0.00007881239,0.01279492],"genre_scores_gemma":[0.9966506,0.00001030883,0.002472724,0.0002958253,0.00003392489,0.00002909461,0.000002938636,0.000004347201,0.0005002363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7255266,"threshold_uncertainty_score":0.9645181,"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."}}