{"id":"W2096279787","doi":"10.1023/a:1022937226820","title":"Using patch isolation metrics to predict animal movement in binary landscapes","year":2003,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":255,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Metric (unit); Habitat; Ecology; Landscape ecology; Biological dispersal; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070568,0.0004520773,0.0004890341,0.001786708,0.0003338907,0.0006059267,0.0004824773,0.0005467377,0.0006221778],"category_scores_gemma":[0.004206771,0.0002769003,0.0004041718,0.0009377997,0.0002624675,0.000984174,0.0005002245,0.000537068,0.0001603448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361518,"about_ca_system_score_gemma":0.0002617003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007699038,"about_ca_topic_score_gemma":0.01765914,"domain_scores_codex":[0.9997783,0.00007365836,0.00002074901,0.00006250255,0.00003249713,0.00003230059],"domain_scores_gemma":[0.9969143,0.002101406,0.0004350502,0.000151643,0.0002000148,0.0001975387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003794069,0.0001791393,0.9112309,0.00003012914,0.0002648392,0.00006005557,0.00008078678,0.0486838,0.001063172,0.0004071089,0.0005620894,0.03705855],"study_design_scores_gemma":[0.00004579292,0.0002276508,0.231851,0.00001364068,0.00009601789,0.0001402773,0.0001043577,0.7647707,0.0006075336,0.001864989,0.0002627602,0.00001538371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905897,0.00009140563,0.008851645,0.00003081401,0.000008612938,0.00000944803,0.0001364489,0.00004359299,0.0002382525],"genre_scores_gemma":[0.992696,0.00003064478,0.006656533,0.000007056174,0.000007026855,0.0000136173,0.0004159014,0.000009287559,0.0001639642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007699038,"threshold_uncertainty_score":0.01530844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517407333068887,"score_gpt":0.2363803391974401,"score_spread":0.2212062658667512,"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."}}