{"id":"W2610471383","doi":"10.1002/ecs2.1788","title":"Predator‐mediated negative effects of overabundant snow geese on arctic‐nesting shorebirds","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Environment and Climate Change Canada; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Indigenous and Northern Affairs Canada; ArcticNet; Parks Canada; Université du Québec à Rimouski","keywords":"Predation; Tundra; Goose; Ecology; Nest (protein structural motif); Biology; Predator; Abundance (ecology); Anatidae; Arctic","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001689062,0.0001164857,0.0001472454,0.000006341669,0.0003470069,0.00002807349,0.0002833385,0.00009161557,0.001796942],"category_scores_gemma":[0.001855281,0.0001063114,0.0000408118,0.00004755825,0.0002060491,0.0002707552,0.0001438213,0.0001501258,0.0009714531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009132606,"about_ca_system_score_gemma":0.00001741891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004902338,"about_ca_topic_score_gemma":0.0007908726,"domain_scores_codex":[0.9991977,0.00006119913,0.0001542853,0.0002385685,0.0001502552,0.0001980256],"domain_scores_gemma":[0.9988461,0.0004546956,0.0002331017,0.0003905553,0.0000119758,0.00006359061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005955537,0.0001341831,0.983317,0.00004098451,0.00002759894,0.00002313696,0.0004468644,0.0003269564,0.001003462,0.0001765168,0.0102771,0.004166697],"study_design_scores_gemma":[0.0004537551,0.0001816719,0.9929693,0.0001119772,0.00001316388,0.000001722063,0.00002865801,0.001385474,0.003442458,0.001023679,0.0002728069,0.0001153824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723511,0.00001072732,0.000035885,0.0004017382,0.0002841185,0.0002138112,0.000002657648,0.00003003826,0.02666989],"genre_scores_gemma":[0.9981944,0.000006617604,0.0004652622,0.0002978132,0.00004698405,0.0000183695,0.000003312088,0.0000121537,0.0009551035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02584325,"threshold_uncertainty_score":0.9998064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007985055949882622,"score_gpt":0.2250073476471006,"score_spread":0.217022291697218,"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."}}