{"id":"W4321435014","doi":"10.1007/s11252-023-01336-w","title":"Urban biotope classification incorporates urban forest and green infrastructure for improved environmental land-use planning in Mexico City","year":2023,"lang":"en","type":"article","venue":"Urban Ecosystems","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biotope; Urban ecology; Geography; Urban forest; Urban forestry; Urban planning; Green infrastructure; Urban ecosystem; Land use; Environmental resource management; Forestry; Environmental planning; Ecology; Environmental science; Urbanization; Habitat; 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":[0.0002373973,0.0001906464,0.0001873544,0.001654069,0.0005534748,0.0008216618,0.0003434558,0.0001659595,0.001878789],"category_scores_gemma":[0.0006637884,0.0001737877,0.0003341027,0.001658697,0.000155112,0.0003091446,0.0005520099,0.0002118635,0.0001801369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897476,"about_ca_system_score_gemma":0.001404695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3926447,"about_ca_topic_score_gemma":0.5875559,"domain_scores_codex":[0.9998673,0.00002933211,0.000009836565,0.00003412332,0.0000195658,0.00003977659],"domain_scores_gemma":[0.9997057,0.00003608243,0.00009276182,0.00002507345,0.0001048531,0.00003545019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004920326,0.00004847528,0.9824597,0.00002073417,0.00004004667,0.0000491588,0.0002519593,0.002173612,0.0003077422,0.0004869697,0.001161233,0.01295121],"study_design_scores_gemma":[0.000004974719,0.00001127932,0.9915918,0.00002161266,0.00004390055,0.00001829021,0.0009388698,0.005438554,0.0001627269,0.00006088267,0.001702142,0.00000489168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952799,0.00008784686,0.0004271832,0.000116288,0.000004937206,0.00002683351,0.001803232,0.0000167159,0.002236922],"genre_scores_gemma":[0.9946169,0.00009455602,0.0020232,0.000008917051,0.000004206781,0.00003694581,0.001990004,0.000008485566,0.001216843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3926447,"threshold_uncertainty_score":0.7807186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554243167177098,"score_gpt":0.238767021854044,"score_spread":0.213224590182273,"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."}}