{"id":"W2146619754","doi":"10.1890/09-2233.1","title":"Modeling spatial aggregation of finite populations","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Negative binomial distribution; Poisson distribution; Species distribution; Distribution (mathematics); Binomial distribution; Statistical physics; Spatial distribution; Occupancy; Mathematics; Ecology; Statistics; Physics; Biology; Habitat; Mathematical analysis","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":[0.001348787,0.0003628299,0.0006830267,0.0008506232,0.000497971,0.001200354,0.001582514,0.0008413182,0.001071838],"category_scores_gemma":[0.007176964,0.0003263175,0.0005199317,0.0008837791,0.001493584,0.001961754,0.001016807,0.0005874643,0.0001471857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730579,"about_ca_system_score_gemma":0.000863749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02418324,"about_ca_topic_score_gemma":0.0144897,"domain_scores_codex":[0.9992681,0.0003357456,0.00003485644,0.0001838857,0.00009304506,0.00008436423],"domain_scores_gemma":[0.9959786,0.002722458,0.0005111457,0.0003961458,0.0002606396,0.0001310067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001310878,0.00002329887,0.00885385,0.00002533798,0.00002864627,0.00009795179,0.0001789269,0.9314398,0.0004823674,0.05294542,0.0003105939,0.005600757],"study_design_scores_gemma":[0.000003046563,0.000007856367,0.0009185322,0.000004445656,0.000006073889,0.0000284371,0.00002944533,0.9786696,0.00007372352,0.01989718,0.0003576484,0.000003997884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3773074,0.0004520315,0.6136416,0.0004593444,0.00003929126,0.00003733555,0.000253207,0.0002621723,0.007547736],"genre_scores_gemma":[0.9719078,0.0002340467,0.02561627,0.00005751622,0.00002084272,0.00007330678,0.0001516704,0.00002793387,0.001910682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02418324,"threshold_uncertainty_score":0.04808497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500054918470337,"score_gpt":0.2497866234526049,"score_spread":0.2347860742679015,"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."}}