{"id":"W1990305143","doi":"10.1071/wr09070","title":"Cat-exclusion zones in rural and urban-fringe landscapes: how large would they have to be?","year":2010,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"University of Otago; Pennington Biomedical Research Foundation","keywords":"Threatened species; Feral cat; Geography; Wildlife; Context (archaeology); Wildlife conservation; Rural area; Protected area; Population; Endangered species; Ecology; Habitat; Predation; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007652117,0.0002195222,0.0002517176,0.0005345044,0.0009958256,0.001606005,0.0008362677,0.000792674,0.003307958],"category_scores_gemma":[0.002195664,0.0001699776,0.0001645403,0.0004322213,0.002360369,0.00138974,0.001950764,0.0004444041,0.0002512721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136402,"about_ca_system_score_gemma":0.0009004197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641461,"about_ca_topic_score_gemma":0.04787989,"domain_scores_codex":[0.9995454,0.0001559021,0.00001886591,0.00008041857,0.00006400616,0.0001354968],"domain_scores_gemma":[0.9986243,0.0002298879,0.000427504,0.00004552186,0.0001254522,0.0005473162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003652042,0.0001515607,0.8923436,0.000797962,0.0001049158,0.002344114,0.01578454,0.0004071401,0.003322092,0.004350519,0.00339079,0.07663748],"study_design_scores_gemma":[0.00001609755,0.0001751959,0.9327639,0.0003073696,0.00006017209,0.002298736,0.04444333,0.0003874562,0.0002850699,0.002226358,0.0170097,0.00002659089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862031,0.003893211,0.0008017509,0.004233998,0.000027116,0.00003383464,0.0002188558,0.00001332742,0.004574811],"genre_scores_gemma":[0.9982914,0.0006821373,0.0004366717,0.0001921077,0.00001432221,0.00001437277,0.0000565286,0.000002130992,0.00031033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01641461,"threshold_uncertainty_score":0.03263813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941831063923507,"score_gpt":0.3055723004317067,"score_spread":0.2761539897924717,"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."}}