{"id":"W4392590151","doi":"10.5194/egusphere-egu24-377","title":"Nature-based solutions to capture atmospheric pollutants in urban ecosystems","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pollutant; Environmental science; Ecosystem; Urban ecosystem; Environmental resource management; Ecology; Urban planning; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004511528,0.0006674668,0.0003964212,0.001596041,0.0005576959,0.001636545,0.001144037,0.0007470385,0.005470097],"category_scores_gemma":[0.001184036,0.0002605645,0.001001869,0.002760012,0.000298947,0.002045636,0.001925326,0.0005670392,0.0009953614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005219698,"about_ca_system_score_gemma":0.0007319291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004714533,"about_ca_topic_score_gemma":0.01053045,"domain_scores_codex":[0.999644,0.00008992579,0.0000296816,0.00008565407,0.0001156937,0.00003503185],"domain_scores_gemma":[0.9995403,0.0001510241,0.00008347425,0.0000876645,0.000103687,0.00003387515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002969588,0.0005527625,0.04805206,0.003458417,0.0003746347,0.001188123,0.004216256,0.1398012,0.02875365,0.05578749,0.03422396,0.6832946],"study_design_scores_gemma":[0.0001184292,0.0004162597,0.04673359,0.0006664452,0.0004349831,0.00122011,0.008631279,0.4576895,0.02554235,0.09776293,0.3605255,0.0002586124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1763928,0.003232085,0.7526712,0.002434788,0.0003079455,0.0008044153,0.009807427,0.006797103,0.04755224],"genre_scores_gemma":[0.3951136,0.002597622,0.585117,0.0003258149,0.00005481572,0.000809325,0.005509076,0.0003220427,0.01015076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005470097,"threshold_uncertainty_score":0.01829928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014844854698053,"score_gpt":0.261842056937551,"score_spread":0.2416936083905704,"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."}}