{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212394,0.00007497092,0.00007988714,0.00001140275,0.00006398556,0.000005291077,0.00009115923,0.00005277989,0.000006516346],"category_scores_gemma":[0.000101402,0.00005296266,0.00005281541,0.00002819723,0.0002406487,9.521074e-7,0.00008515057,0.00004196851,7.130282e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005980953,"about_ca_system_score_gemma":0.00002247148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007871038,"about_ca_topic_score_gemma":0.00000839928,"domain_scores_codex":[0.9994503,0.00006422097,0.0001344226,0.0001543827,0.00003575981,0.00016097],"domain_scores_gemma":[0.9996682,0.00003627791,0.00007061355,0.0001501228,0.00001822702,0.0000565978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006245686,0.00002406773,0.1743332,0.00006758219,0.00006731897,0.000003729134,0.00001749462,0.00006895816,0.7605632,0.0004709307,0.0005619229,0.06319705],"study_design_scores_gemma":[0.007949837,0.0004707111,0.7584457,0.0001288683,0.000256743,0.00002627863,0.00007078894,0.003203111,0.1701641,0.0003883626,0.058137,0.0007584317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416932,0.0210108,0.03624826,0.0007793088,0.00008915024,0.000124601,0.00003666948,0.0000045657,0.00001348782],"genre_scores_gemma":[0.9976461,0.00134697,0.00005779506,0.0004103365,0.0003312785,0.000005494278,0.0001936858,0.0000053596,0.000002975002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5903991,"threshold_uncertainty_score":0.2159754,"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."}}