{"id":"W2093916027","doi":"10.1111/mec.12022","title":"Environmental conditions affect spatial genetic structures and dispersal patterns in a solitary rodent","year":2012,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Biological dispersal; Biology; Ecology; Population; Juvenile; Genetic structure; Rodent; Spatial distribution; Genetic variation; Demography; Geography","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":[0.0001891858,0.0001044696,0.0001411379,0.0004685822,0.0001527817,0.0001983615,0.0001200138,0.0001057366,0.0004414787],"category_scores_gemma":[0.0007279415,0.0001295959,0.0000991376,0.000239675,0.0003127285,0.0001580168,0.0002498823,0.0001137875,0.0000572977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103781,"about_ca_system_score_gemma":0.00007299418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725086,"about_ca_topic_score_gemma":0.006340514,"domain_scores_codex":[0.9998716,0.00004484411,0.00001060021,0.00004146682,0.00001507146,0.0000164035],"domain_scores_gemma":[0.9994745,0.0001234172,0.0002442337,0.00004135779,0.00004487797,0.00007156059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001519044,0.00005497038,0.9516691,0.00001899294,0.0001049545,0.0001575011,0.0003935673,0.0003170285,0.04182633,0.00004123244,0.00004284855,0.005221488],"study_design_scores_gemma":[8.482338e-7,0.0000282587,0.9995716,6.243101e-7,0.000004572295,0.0000411215,0.00005605761,0.0001463951,0.0001280353,0.000009693395,0.00001163286,0.000001179756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999177,0.00001344843,0.00003043379,0.000001248238,1.602219e-7,3.40775e-7,0.000008065744,6.200511e-7,0.00002802914],"genre_scores_gemma":[0.9998648,0.00000939658,0.00007494977,0.000002186437,6.24626e-7,0.000001061766,0.00002646877,6.974636e-7,0.00001983681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001725086,"threshold_uncertainty_score":0.003430068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005077808372212366,"score_gpt":0.2294779618710748,"score_spread":0.2244001534988625,"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."}}