{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001792779,0.000123273,0.0001425686,0.0001529832,0.000363491,0.00008637723,0.0003138062,0.0002848255,0.0005094833],"category_scores_gemma":[0.0004206008,0.0001073865,0.00002450053,0.0002234093,0.0001418949,0.0002344098,0.0006708253,0.0008406473,0.0002964812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008048254,"about_ca_system_score_gemma":0.00002992596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164763,"about_ca_topic_score_gemma":0.03130991,"domain_scores_codex":[0.9982129,0.0001703038,0.0001416834,0.0003453082,0.0005001245,0.0006296244],"domain_scores_gemma":[0.9992143,0.000215715,0.000026898,0.0003069369,0.00002363974,0.0002125381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004695721,0.00008601402,0.9735702,0.000005967045,0.000002983216,0.0000121337,0.00208397,0.000005045561,0.001337341,0.0004558215,0.02091432,0.0014793],"study_design_scores_gemma":[0.0004241724,0.0001016538,0.9278461,0.00001453824,0.000001915981,0.000007533005,0.000993674,0.001086729,0.00003760436,0.0003967802,0.06894687,0.0001424752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638139,0.00001725194,0.00001568055,0.0330006,0.00009613633,0.0003746951,0.000007521463,0.00002528437,0.002648928],"genre_scores_gemma":[0.9945933,0.00003686822,0.0003043542,0.001853225,0.0001103618,0.00007800226,0.000009408609,0.00001460389,0.002999906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04803255,"threshold_uncertainty_score":0.9863662,"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."}}