{"id":"W4383617308","doi":"10.1186/s13021-023-00230-4","title":"A national assessment of urban forest carbon storage and sequestration in Canada","year":2023,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University","funders":"Environment and Climate Change Canada; Killam Trusts; Dalhousie University","keywords":"Carbon sequestration; Carbon sink; Urban forest; Environmental science; Forest inventory; Urban ecosystem; Environmental protection; Environmental resource management; Forestry; Climate change; Geography; Forest management; Urbanization; Agroforestry; Carbon dioxide; 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":[0.000594389,0.0003774122,0.0002665518,0.002530404,0.002032127,0.001385165,0.0006858704,0.0002032891,0.001204067],"category_scores_gemma":[0.000823527,0.000191393,0.0003961244,0.005570881,0.0003321043,0.0004425677,0.0007367002,0.000255802,0.0001294556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04781726,"about_ca_system_score_gemma":0.05109799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971403,"about_ca_topic_score_gemma":0.9987349,"domain_scores_codex":[0.9994559,0.00002765823,0.00001782044,0.00005035197,0.0003136763,0.0001345926],"domain_scores_gemma":[0.9984481,0.00003378902,0.00005879225,0.00002834377,0.001324822,0.0001060582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003036346,0.0001282422,0.8029605,0.0003816548,0.0004372236,0.0003748809,0.001552232,0.04332845,0.002234886,0.00620801,0.02187215,0.1202181],"study_design_scores_gemma":[0.00001769945,0.00004433232,0.9331106,0.0001333238,0.0001658061,0.00008393586,0.002943832,0.03888028,0.001497782,0.000772482,0.02228237,0.00006755038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417766,0.001391154,0.002322691,0.0006781874,0.00001367459,0.0001522546,0.02452344,0.0001687924,0.02897315],"genre_scores_gemma":[0.9908019,0.0004874777,0.001810282,0.00005797401,0.000002344546,0.0000278012,0.00385437,0.00001042462,0.002947414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04781726,"threshold_uncertainty_score":0.3469401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007306299828376304,"score_gpt":0.213069169414991,"score_spread":0.2057628695866147,"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."}}