{"id":"W2086521671","doi":"10.1155/2013/602845","title":"Influences of Movement Behavior on Animal Distributions at Edges of Homogeneous Patches","year":2013,"lang":"en","type":"article","venue":"International Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada); Cochrane; University of Toronto; Toronto Zoo; Canada Research Chairs; SNC-Lavalin (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Enhanced Data Rates for GSM Evolution; Movement (music); Occupancy; Habitat; Ecology; Biological system; Distribution (mathematics); Homogeneous; Biology; Geometry; Statistical physics; Computer science; Mathematics; Physics; Artificial intelligence; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001155787,0.00005569518,0.0001204123,0.00005063926,0.00002670002,0.000003580837,0.0002675349,0.00005484704,0.002419209],"category_scores_gemma":[0.00008018341,0.00004624601,0.00006380533,0.00004115377,0.0002343197,0.0001186897,0.00009037821,0.00007125171,0.00006202974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079192,"about_ca_system_score_gemma":0.00001850174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000171879,"about_ca_topic_score_gemma":0.00009667527,"domain_scores_codex":[0.9992111,0.00004143441,0.0003757027,0.00006974855,0.0002227155,0.00007927101],"domain_scores_gemma":[0.9992694,0.0001069727,0.0004253784,0.0000585194,0.0001083797,0.00003138756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006944277,0.0002155525,0.9610114,9.084739e-7,0.00004726376,0.0000114005,0.00007047646,0.000232943,0.03356057,0.0002705282,0.0008171531,0.003692392],"study_design_scores_gemma":[0.0002185116,0.0003893331,0.9720508,0.000008559452,0.00001799428,0.00004816518,0.00004178662,0.00001664483,0.02589987,0.001145124,0.0001270397,0.00003617642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977174,0.00002199458,0.0000726958,0.001538448,0.0002973634,0.00005927919,0.00001934393,0.000001854649,0.000271589],"genre_scores_gemma":[0.9993114,0.0000208436,0.0002595639,0.0002593641,0.00004056184,0.000007682605,0.000004474109,0.000002239298,0.00009388119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01103942,"threshold_uncertainty_score":0.9984927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213601138801196,"score_gpt":0.2447621323775199,"score_spread":0.232626120989508,"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."}}