{"id":"W1986794862","doi":"10.1098/rsbl.2007.0523","title":"Landscape genetics and the spatial distribution of chronic wasting disease","year":2007,"lang":"en","type":"article","venue":"Biology Letters","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Wisconsin Department of Natural Resources","keywords":"Chronic wasting disease; Biology; Biological dispersal; Disease; Wildlife; Gene flow; Wildlife disease; Ecology; Genetic structure; Genetic variation; Evolutionary biology; Genetics; Population; Gene; Environmental health; Medicine","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":[0.0003688872,0.0001019051,0.0001184344,0.0005790466,0.0001653263,0.000479717,0.0001013501,0.0001573596,0.0003059643],"category_scores_gemma":[0.0009610759,0.00008528125,0.0001008564,0.000574572,0.0003182179,0.0002151079,0.0001779381,0.0001388969,0.00003195013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404969,"about_ca_system_score_gemma":0.0001657093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009349559,"about_ca_topic_score_gemma":0.01415959,"domain_scores_codex":[0.9998358,0.00006423202,0.0000100693,0.00004833755,0.00001751028,0.00002399175],"domain_scores_gemma":[0.9994007,0.0001850177,0.0002715986,0.00003896265,0.00006154204,0.00004206861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008717049,0.00002240517,0.9783157,0.00001159927,0.00008097366,0.0000716943,0.0001810956,0.001311221,0.01323025,0.0002084919,0.00004957275,0.006429809],"study_design_scores_gemma":[0.000003237054,0.00004420773,0.9969343,0.00000425074,0.00002103865,0.0001027156,0.0001309707,0.002128533,0.0003310423,0.000183014,0.000113262,0.000003448814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995542,0.00005507793,0.0002497802,0.00001160629,3.169877e-7,0.000001138873,0.00003090544,0.000001874461,0.00009496414],"genre_scores_gemma":[0.9997502,0.00003068426,0.0001610255,0.000003384137,8.315953e-7,0.000001115858,0.00002771024,6.016354e-7,0.00002440343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009349559,"threshold_uncertainty_score":0.01859027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004800669534953831,"score_gpt":0.2297089817712281,"score_spread":0.2249083122362742,"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."}}