{"id":"W4220676901","doi":"10.1007/s10980-022-01428-6","title":"Highland forest’s environmental complexity drives landscape genomics and connectivity of the rodent Peromyscus melanotis","year":2022,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Ecology; Landscape connectivity; Biological dispersal; Geography; Landscape ecology; Population; Genetic diversity; Biology; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000254208,0.000116397,0.0001991786,0.00002349982,0.0004794133,0.00000660654,0.0002491431,0.00006928718,0.005329623],"category_scores_gemma":[0.00002021513,0.00009345235,0.0000522237,0.00007806494,0.0003511798,0.00006371966,0.0007616404,0.0001937542,0.00002548259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009365616,"about_ca_system_score_gemma":0.00001664968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055444,"about_ca_topic_score_gemma":0.003692521,"domain_scores_codex":[0.9989142,0.0002562759,0.0001867995,0.0002810571,0.0001413777,0.0002202718],"domain_scores_gemma":[0.9994152,0.0001640237,0.0001487546,0.0002251618,0.00000187937,0.00004504956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000469946,0.0001151852,0.9953204,0.000002818362,0.00002166655,0.000003620282,0.0005110304,0.001354468,0.0003680036,0.0002753596,0.001826027,0.0001543595],"study_design_scores_gemma":[0.0006550273,0.0001842747,0.9921242,5.88882e-7,0.00002623333,0.00006387628,0.0003426893,0.002511353,0.00005528301,0.00128059,0.002646254,0.0001096241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967718,0.00004889617,0.00001139147,0.001386473,0.0003426372,0.0002509996,0.00005664995,0.00001425997,0.001116871],"genre_scores_gemma":[0.9989972,0.00001991627,0.00006970819,0.0004780134,0.0000277339,0.00005109707,0.00002645308,0.000008888018,0.0003210353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005304141,"threshold_uncertainty_score":0.9955797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008321802337447877,"score_gpt":0.1834731727775042,"score_spread":0.1751513704400563,"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."}}