{"id":"W7015953387","doi":"","title":"USING LANDSCAPE ECOLOGY AND SPATIAL STATISTICS TO EXAMINE THE IMPACTS OF PROPOSED REMOVALS TO NATURAL HERITAGE SYSTEM AND THE AGRICULTURAL SYSTEM OF ONTARIO’S GREENBELT","year":2025,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural land; Land use; Natural heritage; Shrubland; Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048125,0.0001607572,0.0002045087,0.001785452,0.0006739923,0.001184888,0.0004962866,0.0002358035,0.001816313],"category_scores_gemma":[0.005726325,0.0001158895,0.0005957979,0.003496268,0.0007376275,0.000501466,0.000552525,0.0002838907,0.0001712754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008958141,"about_ca_system_score_gemma":0.00720857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8700676,"about_ca_topic_score_gemma":0.9347711,"domain_scores_codex":[0.9989374,0.0001884956,0.00004267594,0.0001358276,0.0004708026,0.0002247381],"domain_scores_gemma":[0.9969291,0.0009642512,0.0006409915,0.0002552437,0.0008371347,0.0003732063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008248912,0.00002085689,0.9845664,0.00001754843,0.0001568148,0.00008625507,0.0001931318,0.004555285,0.0002395136,0.0008147179,0.001572947,0.007693902],"study_design_scores_gemma":[0.000005393801,0.00004184877,0.9884933,0.000005142464,0.00003324754,0.00003458094,0.0006381397,0.008615638,0.00006921555,0.000229552,0.001827947,0.000006166591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898993,0.0001280342,0.001264924,0.0001935932,0.00001030109,0.00002254416,0.00305778,0.00003723947,0.005386327],"genre_scores_gemma":[0.9969169,0.00005188446,0.0005403613,0.00001072304,0.000003525405,0.00001118388,0.001427682,0.000007276434,0.001030489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1299324,"threshold_uncertainty_score":0.2613952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500674305156233,"score_gpt":0.1909143236129032,"score_spread":0.182413649307747,"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."}}