{"id":"W2677628723","doi":"10.1016/j.foreco.2017.06.008","title":"Boreal small mammals show evidence of density-dependent patterns with area-sensitivity","year":2017,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Université du Québec en Abitibi-Témiscamingue","keywords":"Habitat; Ecology; Occupancy; Taiga; Colonisation; Extinction (optical mineralogy); Local extinction; Black spruce; Geography; Population; Boreal; Biology; Biological dispersal; Colonization","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":[0.0004203137,0.0001895404,0.000323799,0.0007520316,0.0002573325,0.0004564364,0.0003197601,0.0002953967,0.001953603],"category_scores_gemma":[0.001831569,0.0003250829,0.0003048975,0.0005086256,0.00062798,0.0003303744,0.0004910266,0.0002815628,0.0001929148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835033,"about_ca_system_score_gemma":0.00007832264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002429093,"about_ca_topic_score_gemma":0.006363749,"domain_scores_codex":[0.9997099,0.00006528902,0.00002335103,0.0001096964,0.00006037464,0.00003127279],"domain_scores_gemma":[0.9982158,0.0004918734,0.0007128671,0.0002306847,0.0001701858,0.0001786487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002181284,0.00008231516,0.9578672,0.00005515496,0.0002345511,0.00005985913,0.0004345831,0.0004066519,0.03366305,0.0001823376,0.0001911887,0.006605039],"study_design_scores_gemma":[7.895069e-7,0.00002024007,0.9995916,5.411715e-7,0.000004628504,0.00006036393,0.00002629819,0.00009582241,0.0001331135,0.00002798011,0.00003696736,0.000001531093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997734,0.0001404158,0.000534391,0.00001602356,0.000003904341,0.000005266667,0.0001160286,0.00001209056,0.001437915],"genre_scores_gemma":[0.9994368,0.00003147468,0.00018438,0.00001714187,0.000005180676,0.00000504436,0.0001107196,0.000004335475,0.000204937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002429093,"threshold_uncertainty_score":0.00653547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851585174695061,"score_gpt":0.249643085588823,"score_spread":0.2211272338418724,"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."}}