{"id":"W1851520912","doi":"10.1675/063.038.0305","title":"Using Land-Based Surveys to Assess Sea Duck Abundance and Behavior in Nearshore Waters of Southern New England, USA","year":2015,"lang":"en","type":"article","venue":"Waterbirds","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bird Studies Canada; U.S. Fish and Wildlife Service; U.S. Department of the Interior; U.S. Department of Energy","keywords":"Eider; Abundance (ecology); Foraging; Habitat; Fishery; Oceanography; Estuary; Waterfowl; Ecology; Seasonality; Spatial variability; Environmental science; Geography; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003071559,0.0002609255,0.0002045519,0.0007908398,0.0003587105,0.0004616164,0.0003550497,0.0002094854,0.0007203456],"category_scores_gemma":[0.0008466803,0.0002571645,0.0001929841,0.0006844877,0.0002995689,0.0005518142,0.0005118896,0.000235768,0.0002230918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054765,"about_ca_system_score_gemma":0.0006637391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2723487,"about_ca_topic_score_gemma":0.653747,"domain_scores_codex":[0.9997093,0.00005965193,0.00003759751,0.00009857582,0.00006101671,0.00003392575],"domain_scores_gemma":[0.9990712,0.0001075227,0.0003801241,0.00005522016,0.0002540416,0.0001317768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000198302,0.00002641028,0.9939896,0.000022236,0.00002663728,0.0001148746,0.0006590898,0.00006752442,0.0009867349,0.000006566157,0.0001914438,0.003889064],"study_design_scores_gemma":[0.000001539729,0.00002182671,0.9988974,0.000005848369,0.000004948213,0.00003534527,0.0006156613,0.0001018094,0.0000449382,0.000002953547,0.0002661407,0.000001602753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984816,0.0001190764,0.0001478103,0.00003211893,0.000003216103,0.00002960967,0.0005474457,0.00000588035,0.0006333686],"genre_scores_gemma":[0.9962022,0.00030819,0.001072723,0.00008219649,0.000006764308,0.00009997939,0.001153309,0.000002669552,0.001072066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723487,"threshold_uncertainty_score":0.5415269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07762212503885181,"score_gpt":0.29690085119308,"score_spread":0.2192787261542282,"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."}}