{"id":"W6959540890","doi":"10.1021/es502813t.s001","title":"Tracking\\nOverwintering Areas of Fish-Eating Birds to Identify Mercury Exposure","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overwintering; Mercury (programming language); Habitat; Feather; Seasonality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819383,0.0002445889,0.0001341423,0.000870586,0.0004001958,0.0003417403,0.0003193269,0.0002152544,0.001667765],"category_scores_gemma":[0.0002567351,0.0001666882,0.0001324003,0.00049692,0.0001573149,0.0001658481,0.0002915621,0.0001516951,0.0004267184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005252533,"about_ca_system_score_gemma":0.0004766942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1135004,"about_ca_topic_score_gemma":0.4966375,"domain_scores_codex":[0.999856,0.00001143943,0.000005606915,0.00006293395,0.00003358356,0.0000303911],"domain_scores_gemma":[0.9997239,0.00001859301,0.00007124332,0.0000197975,0.0001093082,0.00005720697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006433976,0.00003370013,0.9526057,0.0000381322,0.00003895232,0.00005490549,0.0004949498,0.0001990629,0.02763499,0.00004862659,0.0006544431,0.01813212],"study_design_scores_gemma":[0.000002353271,0.00004060196,0.9959391,0.000007360235,0.00001236233,0.00003668872,0.0002487942,0.0006325944,0.001729037,0.00001031783,0.001337295,0.000003403774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942119,0.0001018328,0.001385046,0.00002153433,0.00000620642,0.0000532188,0.001180572,0.00005229214,0.002987487],"genre_scores_gemma":[0.9808585,0.0001801128,0.009786957,0.00005221465,0.000006174045,0.0001019358,0.002370673,0.00002073824,0.006622645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1135004,"threshold_uncertainty_score":0.2256794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383514648140924,"score_gpt":0.2525616280858892,"score_spread":0.2087264816044799,"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."}}