{"id":"W4410070878","doi":"10.3390/land14050954","title":"Native vs. Non-Native Plants: Public Preferences, Ecosystem Services, and Conservation Strategies for Climate-Resilient Urban Green Spaces","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Western Sydney University","keywords":"Ecosystem services; Green infrastructure; Ecosystem; Native plant; Urban ecosystem; Environmental resource management; Geography; Climate change; Agroforestry; Environmental planning; Introduced species; Urbanization; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008811363,0.0001153112,0.0002014093,0.0003501766,0.0004635864,0.001247507,0.0001992941,0.0004884129,0.002737642],"category_scores_gemma":[0.000823928,0.00004473322,0.0001793493,0.0005090723,0.0008521984,0.001389715,0.0008486304,0.0004257042,0.0001290893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005780063,"about_ca_system_score_gemma":0.0004945415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715899,"about_ca_topic_score_gemma":0.008500417,"domain_scores_codex":[0.9996672,0.0001531412,0.00001467377,0.00003517014,0.00007016953,0.00005973852],"domain_scores_gemma":[0.999488,0.0002769978,0.0000984653,0.00001858182,0.00006128047,0.00005677817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003501479,0.0001689561,0.06379642,0.008329036,0.0002521015,0.001425938,0.03054513,0.00107501,0.01633815,0.05778541,0.01201652,0.8079172],"study_design_scores_gemma":[0.00002728199,0.0004824921,0.2968753,0.004907448,0.0002941068,0.002833786,0.1277525,0.0009346799,0.003967648,0.04229539,0.5195221,0.0001073437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.721186,0.1814113,0.005088918,0.01854699,0.0003570871,0.00004198624,0.0002777041,0.00003001388,0.07305986],"genre_scores_gemma":[0.9557867,0.03847759,0.00123651,0.001251536,0.00006510455,0.00001617394,0.00007759678,0.000006637112,0.003082298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002737642,"threshold_uncertainty_score":0.009158313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835362094969474,"score_gpt":0.2523348536871724,"score_spread":0.2339812327374776,"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."}}