{"id":"W1994868007","doi":"10.5558/tfc76247-2","title":"Land development pressure on peri-urban forests: A case study in the Regional Municipality of York","year":2000,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurora College; University of Toronto","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Fragmentation (computing); Geography; Forest fragmentation; Forest cover; Forestry; Land cover; Environmental protection; Physical geography; Land use; Ecology; Biodiversity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005104309,0.0001033651,0.0001125901,0.000008528137,0.0001937187,0.00002056269,0.0004513771,0.00003493331,0.001014302],"category_scores_gemma":[0.000002206145,0.00005086508,0.0000305314,0.0001445731,0.00004143327,0.00006892403,0.00007154922,0.0001165526,0.0001018833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362289,"about_ca_system_score_gemma":0.0000201534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01343988,"about_ca_topic_score_gemma":0.0929555,"domain_scores_codex":[0.9989943,0.0001370062,0.0002083781,0.0001741418,0.000274535,0.0002116507],"domain_scores_gemma":[0.9993816,0.00006877539,0.00005300641,0.0004640748,0.000002272121,0.00003025368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009278196,0.0005309091,0.95355,0.0000252576,0.00002869467,0.0001100844,0.03043073,0.01356544,0.000002938103,0.00002136463,0.000639703,0.001002115],"study_design_scores_gemma":[0.001005463,0.000276744,0.9639336,0.00004381454,0.00002813048,0.000181559,0.005058165,0.003342952,0.00005514051,0.0001030229,0.02582585,0.0001455363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971002,0.0001513894,1.662396e-7,0.0001173241,0.00001564678,0.0004037687,0.000004113122,0.0000103599,0.002197078],"genre_scores_gemma":[0.9996614,0.000004958435,0.000006903213,0.0001125909,0.00003468298,0.0000493259,0.000002657894,0.000006438857,0.0001210556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07951562,"threshold_uncertainty_score":0.9998989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272506008900288,"score_gpt":0.2507470547932613,"score_spread":0.2234964539032325,"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."}}