{"id":"W3041260925","doi":"10.1371/journal.pone.0235773","title":"Actions, indicators, and outputs in urban biodiversity plans: A multinational analysis of city practice","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Vancouver Community College; University of British Columbia","funders":"Central European University","keywords":"Biodiversity; Index (typography); Geography; Environmental resource management; Environmental planning; Corporate governance; Convention on Biological Diversity; Business; Measurement of biodiversity; Biodiversity conservation; Ecology; Environmental science","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":[0.01684921,0.000276638,0.0003147592,0.004807537,0.001788924,0.003775037,0.00100957,0.0005047413,0.001935377],"category_scores_gemma":[0.0306667,0.0003681893,0.0004846102,0.008643054,0.004242393,0.004423665,0.006880434,0.0007200505,0.0001575453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008307894,"about_ca_system_score_gemma":0.003912755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05259234,"about_ca_topic_score_gemma":0.06970946,"domain_scores_codex":[0.9898211,0.006342848,0.0007949851,0.0008054654,0.001530282,0.0007053543],"domain_scores_gemma":[0.9692588,0.01604345,0.008102704,0.002414592,0.003193352,0.0009872362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000051197,0.00006056986,0.873319,0.0001614887,0.00008617666,0.0001807392,0.09757262,0.0008743351,0.0002153323,0.006418918,0.000569616,0.02049003],"study_design_scores_gemma":[0.000009678208,0.0000932615,0.7925955,0.0002313688,0.00006690994,0.0000909648,0.191345,0.005597278,0.0002333585,0.001810337,0.007894485,0.00003184346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953022,0.00009271741,0.0009117627,0.0003082401,0.0000032824,0.00007967475,0.000174091,0.000004506337,0.003123436],"genre_scores_gemma":[0.9975926,0.000099538,0.001482169,0.0000418885,0.000002884562,0.0001111692,0.0002745974,0.00001005768,0.0003850952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05259234,"threshold_uncertainty_score":0.1045724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06109922137380731,"score_gpt":0.2541362099424117,"score_spread":0.1930369885686044,"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."}}