{"id":"W2046448571","doi":"10.1071/wr10090","title":"Estimating the population size of a threatened arboreal marsupial: use of distance sampling to dispense with ad hoc survey techniques","year":2010,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Threatened species; Population size; Population; Population viability analysis; Sampling (signal processing); Distance sampling; Arboreal locomotion; Context (archaeology); Abundance (ecology); Geography; Ecology; Environmental resource management; Habitat; Computer science; Biology; Endangered species; Environmental science","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":[0.002142133,0.0004106768,0.0002205178,0.001493014,0.0004577222,0.0005212188,0.0006938451,0.0002850137,0.0007472788],"category_scores_gemma":[0.008146213,0.0001741362,0.0002384439,0.0006686797,0.0006510827,0.000480433,0.0007811118,0.0002994401,0.0002600954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503872,"about_ca_system_score_gemma":0.0004376733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005902303,"about_ca_topic_score_gemma":0.02268428,"domain_scores_codex":[0.9976404,0.001342479,0.0001219458,0.0003821372,0.0004739825,0.00003920176],"domain_scores_gemma":[0.9939851,0.002360221,0.001913253,0.0007000024,0.0008793647,0.0001620113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039679,0.00007496859,0.6946991,0.0004055961,0.000334349,0.0003391631,0.002170291,0.008213048,0.03173822,0.001001578,0.0006053715,0.2603143],"study_design_scores_gemma":[0.00002734188,0.0009432073,0.9349771,0.0002481416,0.0002325885,0.001476793,0.002510873,0.03113457,0.01818164,0.001840172,0.008345663,0.00008183817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696313,0.001014838,0.1234758,0.0001801263,0.00003043692,0.0002255555,0.0002276725,0.0001213154,0.005092775],"genre_scores_gemma":[0.9049984,0.000306832,0.0935962,0.00006930767,0.0000204703,0.0002108175,0.0001523059,0.0000124287,0.0006332385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005902303,"threshold_uncertainty_score":0.01173586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07846261288892997,"score_gpt":0.3508823468712992,"score_spread":0.2724197339823692,"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."}}