{"id":"W4407798857","doi":"10.1002/eap.70005","title":"Urban landscapes with more natural greenspace support higher pollinator diversity","year":2025,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Pollinator; Ecology; Geography; Urban ecology; Habitat; Biodiversity; Metropolitan area; Grassland; Urban ecosystem; Urban planning; Pollination; Biology; Pollen","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001334056,0.0001182088,0.0001554228,0.000594075,0.0002833663,0.0006022207,0.0001144672,0.0001558169,0.003148187],"category_scores_gemma":[0.0007373312,0.00009359021,0.0001568254,0.0005994501,0.0002490734,0.0003435033,0.0004767653,0.0001695457,0.0001494691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970123,"about_ca_system_score_gemma":0.00009605751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005413243,"about_ca_topic_score_gemma":0.02240835,"domain_scores_codex":[0.9998914,0.00002785004,0.000007223203,0.00002897985,0.00001830971,0.00002614483],"domain_scores_gemma":[0.9992429,0.0001585323,0.0003876255,0.00005311231,0.0000592374,0.00009868837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003156494,0.00002376218,0.9894624,0.00002676469,0.00005769869,0.00006005502,0.000562608,0.0001543585,0.001492809,0.0001594585,0.0002141345,0.007754341],"study_design_scores_gemma":[7.450824e-7,0.00000718281,0.9990267,0.000003535154,0.000006321157,0.00003044985,0.0004275056,0.00008011189,0.00004529246,0.00003645454,0.0003341844,0.0000014407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989684,0.00009451494,0.0001747635,0.0000317441,0.000001552495,0.000003597206,0.0001267063,0.000007166422,0.0005914589],"genre_scores_gemma":[0.9995228,0.00006114255,0.0001651285,0.00001305323,0.000004080809,0.000003143121,0.000108724,0.000001975826,0.0001199586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005413243,"threshold_uncertainty_score":0.01076347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613654875740232,"score_gpt":0.2066531207764373,"score_spread":0.190516572019035,"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."}}