{"id":"W1972872115","doi":"10.1371/journal.pone.0047858","title":"Explaining Spatial Heterogeneity in Population Dynamics and Genetics from Spatial Variation in Resources for a Large Herbivore","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fisheries and Oceans Canada; Parks Canada; University of Saskatchewan","keywords":"Biology; Ecology; Population; Spatial heterogeneity; Outbreeding depression; Population genetics; Habitat; Inbreeding; Spatial ecology; Spatial variability; Inbreeding depression; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005563335,0.0002056495,0.0002256311,0.0007859797,0.0003218048,0.0005511445,0.000306138,0.0003074185,0.0007774516],"category_scores_gemma":[0.002297956,0.0002063644,0.0002885217,0.0005776897,0.0007680561,0.0003832262,0.000409048,0.0002192204,0.0001029832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421118,"about_ca_system_score_gemma":0.00040532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02606754,"about_ca_topic_score_gemma":0.04540521,"domain_scores_codex":[0.9998019,0.00005947573,0.00001387711,0.00006622582,0.00002393481,0.00003460274],"domain_scores_gemma":[0.9988775,0.0005608024,0.0002672685,0.0001172569,0.0000922314,0.00008487367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000422047,0.00002215044,0.9789726,0.00002938948,0.0001758866,0.0001344862,0.0004909266,0.003359512,0.006963368,0.0005494429,0.00008025162,0.009179754],"study_design_scores_gemma":[0.000005282349,0.00001668121,0.9885727,0.000006905571,0.00004042938,0.00008966091,0.0003429358,0.009583955,0.0001676392,0.001052468,0.0001153171,0.000005998343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980296,0.00008624606,0.001563779,0.00003612314,0.000001176668,0.000004294942,0.00002801359,0.000008035036,0.0002426971],"genre_scores_gemma":[0.9994667,0.00003194261,0.0004113264,0.000007451039,0.000002227326,0.000002210772,0.00003190857,0.000001783428,0.00004442006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02606754,"threshold_uncertainty_score":0.0518316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216150531883797,"score_gpt":0.2311623968074434,"score_spread":0.2090008914886055,"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."}}