{"id":"W2593568989","doi":"10.1155/2017/1730130","title":"Winter Waterbird Community Composition and Use at Created Wetlands in West Virginia, USA","year":2017,"lang":"en","type":"article","venue":"Scientifica","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West Virginia University","keywords":"Aythya; Wetland; Waterfowl; Species richness; Habitat; Ecology; Geography; Anas; Vegetation (pathology); Abundance (ecology); Species diversity; Anatidae; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004129781,0.00008422905,0.00009666258,0.00003240462,0.001370471,0.0001778288,0.0003217333,0.00007024924,0.0024525],"category_scores_gemma":[0.00001977849,0.0000712666,0.00002030414,0.00004602993,0.001057832,0.000460302,0.00053101,0.000182503,0.001409874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008819472,"about_ca_system_score_gemma":0.000002371676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005020279,"about_ca_topic_score_gemma":0.02113909,"domain_scores_codex":[0.9992439,0.00009440481,0.0001209486,0.0002215806,0.0001051713,0.000214037],"domain_scores_gemma":[0.9993241,0.00003182856,0.00006156204,0.0004994769,0.000004844665,0.00007822081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002279108,0.0001117552,0.9281842,0.00000151605,0.000001135356,0.00001177318,0.0003906545,0.000002996691,0.07025213,0.000001053066,0.0006439306,0.0003760742],"study_design_scores_gemma":[0.0003119342,0.00003173536,0.9913604,0.00001078193,0.000007073598,0.00001067017,0.00002861236,0.00003199482,0.006984998,0.00001668091,0.001111874,0.00009322094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970628,7.965506e-7,0.000002758557,0.0002504108,0.0002363053,0.0001138169,0.00001664946,0.0000152651,0.00230119],"genre_scores_gemma":[0.9935388,0.00000168268,0.00008806033,0.00007238614,0.000005732144,0.000006896836,0.0000225936,0.000004911358,0.006258955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06326713,"threshold_uncertainty_score":0.9999296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821646489608878,"score_gpt":0.2651882264870544,"score_spread":0.2369717615909656,"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."}}