{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003096876,0.0002596217,0.0003259426,0.0005158584,0.0004834512,0.001251118,0.0007052685,0.000553627,0.001816811],"category_scores_gemma":[0.02927373,0.0004623776,0.0006202319,0.0005132381,0.001904394,0.002441569,0.001129644,0.0005772925,0.0001888048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007875898,"about_ca_system_score_gemma":0.0003599027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011882,"about_ca_topic_score_gemma":0.01031863,"domain_scores_codex":[0.9986393,0.0007021417,0.00008065674,0.0002951663,0.0001548641,0.0001278474],"domain_scores_gemma":[0.9797853,0.01498768,0.002996957,0.001369377,0.0005042253,0.0003564872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002693474,0.000118078,0.7631716,0.0002131872,0.0003018706,0.0002702457,0.001952185,0.1493633,0.005067771,0.03914343,0.0008243084,0.03930466],"study_design_scores_gemma":[0.0000467853,0.0001824539,0.6367767,0.0000558675,0.00009547814,0.000327234,0.001043417,0.313044,0.001342691,0.04511888,0.001894331,0.00007228214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369931,0.0004074124,0.05807813,0.000349998,0.0000177285,0.00005245784,0.0002536447,0.00007803606,0.003769519],"genre_scores_gemma":[0.9965001,0.00006007277,0.003146956,0.00002691098,0.00000892627,0.00001948604,0.00006641058,0.00001296454,0.0001582281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011882,"threshold_uncertainty_score":0.02011985,"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."}}