{"id":"W4388400275","doi":"10.1002/ecy.4204","title":"Insects in the city: Determinants of a contained aquatic microecosystem across an urbanized landscape","year":2023,"lang":"en","type":"article","venue":"Ecology","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación","keywords":"Ecology; Ecosystem; Abundance (ecology); Population; Biodiversity; Population density; Biomass (ecology); Invertebrate; Plant litter; Biology; Geography; Environmental science","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":[0.0001362948,0.0001402193,0.0001540637,0.0006269762,0.0006358451,0.001059244,0.0002451387,0.000213677,0.001578548],"category_scores_gemma":[0.0006278235,0.0001325216,0.0001705832,0.000925105,0.0005607682,0.0002713571,0.0007215614,0.0002524581,0.0001209849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047242,"about_ca_system_score_gemma":0.0006537386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1527761,"about_ca_topic_score_gemma":0.3901179,"domain_scores_codex":[0.999797,0.00003235642,0.00001129578,0.00004849007,0.00004976445,0.00006095366],"domain_scores_gemma":[0.9993948,0.00006314853,0.0002488362,0.00003482165,0.0000907974,0.0001675466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002255718,0.00002235274,0.9974629,0.000006347473,0.00002321393,0.00003252608,0.0003501395,0.00009181059,0.0003208354,0.00003670531,0.00006857795,0.001562005],"study_design_scores_gemma":[3.074531e-7,0.000006241347,0.9993446,0.000001627254,0.000002994154,0.00001090278,0.0004943127,0.00006532171,0.00001233858,0.00000779184,0.00005259761,9.102093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995463,0.00003345593,0.00003403526,0.00002339584,5.127426e-7,0.000002724913,0.00006926381,0.00000136163,0.0002889631],"genre_scores_gemma":[0.9997393,0.00003657474,0.00003794943,0.000005296534,0.000001003349,0.000001687088,0.00007788828,7.92844e-7,0.0000995287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1527761,"threshold_uncertainty_score":0.3037737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585166830300315,"score_gpt":0.296006741770592,"score_spread":0.2701550734675888,"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."}}