{"id":"W2914408542","doi":"10.1002/ece3.4864","title":"Mallard resource selection trade‐offs in a heterogeneous environment during autumn and winter","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Birds Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Kenneth M. Molson Foundation; Delta Waterfowl; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; California Waterfowl Association; Molson Foundation; Ontario Federation of Anglers and Hunters; TD Friends of the Environment Foundation","keywords":"Waterfowl; Anas; Foraging; Hunting season; Resource (disambiguation); Predation; Habitat; Ecology; Marsh; Selection (genetic algorithm); Geography; Wetland; Environmental resource management; Fishery; Biology; Environmental science; Population","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":[0.0003591476,0.0001468214,0.0002629729,0.0003101581,0.0003729332,0.0006646408,0.0002466861,0.0002003756,0.0009531952],"category_scores_gemma":[0.0006436442,0.0001509733,0.0002128512,0.0001812075,0.0002741887,0.0002659578,0.0003533837,0.0001341443,0.0001312725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005831906,"about_ca_system_score_gemma":0.0003341215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309331,"about_ca_topic_score_gemma":0.1344382,"domain_scores_codex":[0.9998298,0.00004295434,0.000008329883,0.00005034757,0.00001864392,0.00004994418],"domain_scores_gemma":[0.9996716,0.00007606383,0.0001048102,0.00003418093,0.00002554746,0.0000878171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002050034,0.00007256302,0.9569208,0.00002076112,0.0001760933,0.0002005376,0.0004763475,0.001822176,0.02601875,0.0002859187,0.0003291894,0.0134718],"study_design_scores_gemma":[0.000002652421,0.00003226592,0.9965352,0.000002925065,0.00001171466,0.00006197867,0.0001841913,0.002514551,0.0003247125,0.0001301922,0.0001956728,0.000004028192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994761,0.00002169914,0.0002333369,0.00001005495,5.91554e-7,0.000001455421,0.00001737757,0.000005304864,0.0002340688],"genre_scores_gemma":[0.9994161,0.00001199154,0.0002449869,0.000009419015,8.872685e-7,0.000002390994,0.00004557177,0.000003831061,0.000264818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02309331,"threshold_uncertainty_score":0.04591781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003692927641714922,"score_gpt":0.1674304863171597,"score_spread":0.1637375586754448,"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."}}