{"id":"W3067115007","doi":"10.1111/ecog.05003","title":"Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning","year":2020,"lang":"en","type":"article","venue":"Ecography","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Birds Canada; Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; U.S. Fish and Wildlife Service; Environment and Climate Change Canada; Bureau of Ocean Energy Management; Bird Studies Canada; Ministry of Natural Resources; Ontario Federation of Anglers and Hunters; TD Friends of the Environment Foundation","keywords":"Habitat; Ecology; Context (archaeology); Annual cycle; Geography; Bay; Selection (genetic algorithm); Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004032328,0.0002086444,0.0003110479,0.0008100515,0.0003982514,0.000605094,0.0002247065,0.0002049367,0.0004629929],"category_scores_gemma":[0.0006026421,0.00016195,0.000285899,0.0004602206,0.0003067179,0.0004352821,0.0003249662,0.0002031639,0.0001102285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622978,"about_ca_system_score_gemma":0.0001662612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01717285,"about_ca_topic_score_gemma":0.0786541,"domain_scores_codex":[0.9997961,0.00004228988,0.00001932563,0.00007878744,0.00002105113,0.00004247933],"domain_scores_gemma":[0.9993969,0.0001149181,0.0002490229,0.00004476587,0.00006821692,0.0001261171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005956526,0.00002143333,0.9920661,0.00001382566,0.00005732893,0.00003851299,0.0003798593,0.0001726576,0.004370803,0.000009522802,0.00004033529,0.002770075],"study_design_scores_gemma":[3.067653e-7,0.00001726654,0.9996243,0.00000109158,0.000003770948,0.00002256931,0.0001353351,0.0001337312,0.00003389221,0.000003580396,0.00002292,0.000001216721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997786,0.00002890945,0.00005352642,0.000001916407,4.126883e-7,0.000001220368,0.00005850026,0.00000176352,0.00007524445],"genre_scores_gemma":[0.999564,0.00002446751,0.0001611258,0.000005817981,7.073126e-7,0.000005015978,0.000164804,0.00000151225,0.0000725663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01717285,"threshold_uncertainty_score":0.03414577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071663657845449,"score_gpt":0.2513895197165789,"score_spread":0.2206728831381244,"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."}}