{"id":"W2740471276","doi":"10.1002/wsb.794","title":"Relationships between abundances of breeding ducks and attributes of Canadian prairie wetlands","year":2017,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"Environment and Climate Change Canada; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada","keywords":"Abundance (ecology); Wetland; Habitat; Ecology; Wildlife; Waterfowl; Range (aeronautics); Environmental science; Biology; Geography","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":[0.0004402985,0.0001638636,0.0001433224,0.0006083614,0.0006802421,0.0006099397,0.0003233548,0.000146375,0.00118432],"category_scores_gemma":[0.001965055,0.0001628985,0.0001620197,0.0006499459,0.0004719509,0.00026127,0.0002932666,0.000229757,0.0000583697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002535138,"about_ca_system_score_gemma":0.001663159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8300979,"about_ca_topic_score_gemma":0.9523299,"domain_scores_codex":[0.999761,0.00003024199,0.00001379209,0.00007959257,0.00006363649,0.00005160659],"domain_scores_gemma":[0.9987124,0.0002922591,0.0003279639,0.0000690031,0.0003870286,0.0002112411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001340332,0.000005585394,0.9978828,0.000005518128,0.00003224132,0.00001442453,0.0000989864,0.0002574664,0.0002722779,0.00002692538,0.00006832501,0.001322105],"study_design_scores_gemma":[4.100508e-7,0.000002759624,0.9996442,8.989604e-7,0.000002797489,0.000008971546,0.00008109898,0.0001876164,0.00001355537,0.000007203692,0.00004947823,9.259745e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992002,0.00004481951,0.00007316119,0.0000157639,8.159254e-7,0.000002945572,0.0002528942,0.000002886952,0.0004065839],"genre_scores_gemma":[0.9995391,0.00003017001,0.0001209145,0.000003873224,6.462673e-7,0.00000188307,0.0001561194,8.87266e-7,0.0001464813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1699021,"threshold_uncertainty_score":0.3418055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646925292439025,"score_gpt":0.2340057937588655,"score_spread":0.1975365408344752,"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."}}