{"id":"W2766365519","doi":"10.1002/ecy.2054","title":"Sampling scales define occupancy and underlying occupancy–abundance relationships in animals","year":2017,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"Alberta Parks; Parks Canada; Yellowstone to Yukon Conservation Initiative; Alberta Biodiversity Monitoring Institute; University of Montana; Panthera","keywords":"Occupancy; Sampling (signal processing); Abundance (ecology); Ecology; Spatial ecology; Sampling design; Experience sampling method; Statistics; Population; Environmental science; Geography; Biology; Computer science; Mathematics; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004699376,0.00009308071,0.0001483819,0.00003685385,0.0007943989,0.00003505241,0.0001884974,0.0001518065,0.0003095372],"category_scores_gemma":[0.000577363,0.00009976003,0.00001686483,0.00005552535,0.0003275067,0.0002821512,0.0001791338,0.0002121249,0.0002525155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008450066,"about_ca_system_score_gemma":0.00001418173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568929,"about_ca_topic_score_gemma":0.02023041,"domain_scores_codex":[0.9991155,0.00009546818,0.0001978953,0.0002868572,0.00005361209,0.0002507227],"domain_scores_gemma":[0.9992575,0.0002968534,0.000143164,0.0002520385,0.000004874718,0.00004556512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001721742,0.00002006537,0.996305,0.000003390697,0.000003029399,0.000005907394,0.0001017137,0.00003987505,0.0001550754,0.001828569,0.0001837344,0.001336389],"study_design_scores_gemma":[0.0003150099,0.000038913,0.9869426,0.00000805293,0.000004839829,0.00001178074,0.00004358045,0.0003161103,0.000009417799,0.01173523,0.0004698301,0.0001046646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934056,0.00007251277,0.0001968656,0.002143264,0.0001673017,0.0001394289,0.000002067324,0.0000224857,0.003850466],"genre_scores_gemma":[0.9969348,0.00003067475,0.002474517,0.000319408,0.00002103618,0.00002700514,0.000002702591,0.00000675588,0.0001831449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02007352,"threshold_uncertainty_score":0.9976478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090381584424539,"score_gpt":0.3127629008035309,"score_spread":0.2223813163789919,"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."}}