{"id":"W2161804212","doi":"10.1111/j.1600-0587.2000.tb00288.x","title":"The spatial scale of variability in small‐mammal populations","year":2000,"lang":"en","type":"article","venue":"Ecography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Range (aeronautics); Mammal; Abundance (ecology); Biological dispersal; Ecology; Spatial ecology; Population; Spatial analysis; Geography; Temporal scales; Relative species abundance; Spatial variability; Biology; Statistics; Demography; Remote sensing","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":[0.0004726941,0.00004126624,0.00005848534,0.00001831011,0.0001552589,0.000003573285,0.00008767355,0.00002941702,0.0008981777],"category_scores_gemma":[0.00002721761,0.00003147247,0.00004317658,0.0002145377,0.0002556027,0.00003432246,0.00002595786,0.00005704924,0.00004441233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001145072,"about_ca_system_score_gemma":0.000002134474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005602472,"about_ca_topic_score_gemma":0.04661325,"domain_scores_codex":[0.9995006,0.0001003295,0.0001487282,0.0001024627,0.0000427603,0.0001051323],"domain_scores_gemma":[0.9997115,0.00012785,0.0000297083,0.000112805,0.00000315689,0.00001503221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007123171,0.000047588,0.9826872,7.685315e-7,0.000003307962,1.399479e-7,0.0001715036,0.001446211,0.00001132904,0.0003902326,0.00004901462,0.01518558],"study_design_scores_gemma":[0.00008246739,0.00001385316,0.9825144,9.995271e-7,0.000003359645,2.185969e-7,0.00001814679,0.002314608,0.00001076418,0.01456951,0.0004374334,0.00003418774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973973,0.00001166146,0.0002657641,0.0003333895,0.00006521006,0.0000874248,0.000003092922,0.000007597075,0.02525283],"genre_scores_gemma":[0.9990087,0.00002072136,0.0007471326,0.00003006023,0.000007581978,0.00001408784,0.000002111445,0.000001874214,0.0001677484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04605301,"threshold_uncertainty_score":0.9834415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007729093765874441,"score_gpt":0.2137603285354166,"score_spread":0.2060312347695422,"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."}}