{"id":"W2169091938","doi":"10.1111/j.1523-1739.2011.01674.x","title":"Measuring Protected‐Area Isolation and Correlations of Isolation with Land‐Use Intensity and Protection Status","year":2011,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vegetation (pathology); Land cover; Vegetation cover; Normalized Difference Vegetation Index; Geography; Protected area; Physical geography; Environmental science; Isolation (microbiology); Cover (algebra); Ecology; Land use; Environmental resource management; Biology; Climate change","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166137,0.00006903341,0.00009865757,0.00003854519,0.00009862101,0.00001005039,0.00002322502,0.0000740028,0.00006726319],"category_scores_gemma":[0.00003809017,0.00005164161,0.00000704152,0.00011575,0.00004671741,0.000341766,0.00003442699,0.00005272268,0.000004996361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031156,"about_ca_system_score_gemma":0.000007229587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005034983,"about_ca_topic_score_gemma":0.004108,"domain_scores_codex":[0.999502,0.00004953012,0.000150201,0.0001611492,0.0000429224,0.00009418129],"domain_scores_gemma":[0.9996732,0.0000266906,0.0001410843,0.00008266665,0.00004272179,0.0000336075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000114945,0.00001294726,0.9918881,0.00001473329,0.000008270241,1.377125e-7,0.0005416386,0.00002632108,0.006753366,0.00004644356,0.000002824718,0.0005902427],"study_design_scores_gemma":[0.000272938,0.0001693432,0.9755301,0.00002252148,0.00001341997,0.00000929765,0.00004740369,0.02264264,0.0006834946,0.000414959,0.0001225725,0.00007129036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868971,0.00001487364,0.01237756,0.0000904049,0.00003162332,0.0003719452,0.000005158226,0.00002787482,0.0001834683],"genre_scores_gemma":[0.9982884,0.00001647253,0.001588517,0.00004567087,0.000006054793,0.00002474958,0.00001754171,0.000004250535,0.000008348928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02261632,"threshold_uncertainty_score":0.7611421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06170162716393397,"score_gpt":0.1999599181312875,"score_spread":0.1382582909673535,"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."}}