{"id":"W2041831257","doi":"10.1002/ece3.788","title":"Targeting hunter distribution based on host resource selection and kill sites to manage disease risk","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Saskatchewan","funders":"Nature Conservancy of Canada; Parks Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Food Inspection Agency","keywords":"Host (biology); Selection (genetic algorithm); Resource (disambiguation); Resource distribution; Distribution (mathematics); Disease; Ecology; Geography; Biology; Computer science; Resource allocation; Medicine; Artificial intelligence","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":[0.0009607528,0.0003080736,0.0002315694,0.001144183,0.0003323285,0.000476002,0.0004032033,0.0001858738,0.0009001126],"category_scores_gemma":[0.001854993,0.0001533865,0.0002201051,0.0007904966,0.0003279965,0.0002650066,0.0003294331,0.0001969702,0.000153857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028509,"about_ca_system_score_gemma":0.001102498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1531419,"about_ca_topic_score_gemma":0.480494,"domain_scores_codex":[0.9996803,0.00009885019,0.00001715559,0.00008979904,0.00005203493,0.00006182507],"domain_scores_gemma":[0.9988952,0.0002757896,0.000414077,0.00006383522,0.0001828582,0.000168218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004226452,0.00002475981,0.9895647,0.00001994668,0.00005420432,0.00002275024,0.0001498171,0.0006495177,0.0005868183,0.00004117973,0.0002261805,0.008617925],"study_design_scores_gemma":[0.00000390887,0.00005001817,0.995724,0.00001148653,0.00002521544,0.00004057202,0.0003828992,0.003214468,0.0001541704,0.00008589145,0.0003018853,0.000005515019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973151,0.0001973131,0.001313968,0.00005297356,0.000003028987,0.00002504483,0.0003766197,0.00002022934,0.0006956858],"genre_scores_gemma":[0.9968989,0.0001341213,0.002273335,0.00002657419,0.000002472693,0.00002249791,0.0003162106,0.000004074977,0.0003218568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1531419,"threshold_uncertainty_score":0.304501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007461511693758706,"score_gpt":0.1964697618640704,"score_spread":0.1890082501703117,"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."}}