{"id":"W2895040262","doi":"10.1111/1365-2656.12905","title":"Occasional long distance dispersal increases spatial synchrony of population cycles","year":2018,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Metapopulation; Spatial ecology; Biology; Ecology; Metacommunity; Predation; Population; Spatial heterogeneity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002414763,0.0001054929,0.0002884269,0.00004533033,0.0001537215,0.000004690298,0.0001720649,0.0001003661,0.003013338],"category_scores_gemma":[0.0001455539,0.0000845008,0.00009529228,0.00008305646,0.0006715643,0.000198938,0.0001432202,0.0001374357,0.00005918869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372642,"about_ca_system_score_gemma":0.00002109512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000614604,"about_ca_topic_score_gemma":0.009135128,"domain_scores_codex":[0.9989717,0.00007524158,0.0004274946,0.0001360154,0.0001900125,0.000199557],"domain_scores_gemma":[0.9992533,0.000117393,0.000448324,0.00006561795,0.00004781151,0.00006756605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007519784,0.0002617181,0.9908237,0.000004136156,0.00002453167,0.00004598534,0.00007686407,0.00001412852,0.006092394,0.0002419827,0.0005346581,0.001127877],"study_design_scores_gemma":[0.0003360014,0.003083741,0.9953711,0.00001100883,0.00005681612,0.0001406182,0.00007684877,0.0001387089,0.0004239066,0.0001254524,0.000152129,0.00008366314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988018,0.00004488636,0.0002445343,0.0001821697,0.0002195263,0.00005456578,0.000007079323,0.000005197038,0.0004402905],"genre_scores_gemma":[0.9991091,0.00001925153,0.0005317206,0.00007267482,0.0002278028,0.000001147452,0.000001801945,0.000006581729,0.00002990404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008520524,"threshold_uncertainty_score":0.997898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155106128563715,"score_gpt":0.268792729279773,"score_spread":0.2572416679941358,"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."}}