{"id":"W3199562372","doi":"10.3390/atmos12091183","title":"Nature-Based Resilience: A Multi-Type Evaluation of Productive Green Infrastructure in Agricultural Settings in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Atmosphere","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hope Foundation","keywords":"Agriculture; Greenhouse gas; Green infrastructure; Environmental science; Resilience (materials science); Air pollution; Carbon dioxide; Climate change; Psychological resilience; Pollutant; Natural resource economics; Business; Environmental resource management; Environmental engineering; Environmental protection; Environmental planning; Environmental economics; Ecology; Economics","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":[0.001528447,0.0005832079,0.0004758185,0.0009146616,0.00354176,0.001238469,0.001276447,0.0005771352,0.001341539],"category_scores_gemma":[0.002716822,0.0003019212,0.0006832585,0.00195468,0.001948329,0.0007938868,0.001114043,0.0004797863,0.0001426463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06338364,"about_ca_system_score_gemma":0.04432521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871452,"about_ca_topic_score_gemma":0.9958824,"domain_scores_codex":[0.9984876,0.0002706653,0.00005046459,0.0001719651,0.0004915463,0.0005277034],"domain_scores_gemma":[0.9973342,0.0003216402,0.0003249428,0.0001333781,0.00143425,0.0004514982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005071986,0.004700496,0.7600896,0.001322842,0.0009701599,0.001637161,0.0200616,0.06356348,0.01861273,0.004361749,0.006220628,0.1133876],"study_design_scores_gemma":[0.0001372634,0.001641153,0.9564206,0.0001036286,0.0001759042,0.00006182031,0.01948111,0.01204507,0.002416121,0.0006579116,0.006755641,0.0001037211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947276,0.00008412726,0.000492423,0.0001217917,0.000004447048,0.0003640949,0.000767828,0.00001425408,0.00342344],"genre_scores_gemma":[0.996671,0.0001300994,0.0008686289,0.00005922941,0.000002347372,0.00017769,0.0004260193,0.000006181955,0.001658687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06338364,"threshold_uncertainty_score":0.4598826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008802607627523534,"score_gpt":0.2370694567821621,"score_spread":0.2282668491546386,"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."}}