{"id":"W7097457445","doi":"","title":"ATMOSPHERIC ADMINISTRATION","year":2010,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methylmercury; Mercury (programming language); Bioaccumulation; Limiting; Wildlife; Ecosystem","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001677774,0.001093161,0.0009150656,0.002048197,0.002563179,0.004718555,0.002035294,0.004022377,0.4772955],"category_scores_gemma":[0.002657112,0.0005773311,0.0007352621,0.002354063,0.0008950871,0.002877929,0.002813323,0.003464839,0.3659123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177243,"about_ca_system_score_gemma":0.005249887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854829,"about_ca_topic_score_gemma":0.01599011,"domain_scores_codex":[0.9978107,0.0001755991,0.0001116815,0.0003150336,0.001422095,0.0001648794],"domain_scores_gemma":[0.9982433,0.0001259972,0.00009558171,0.0004246421,0.0009520739,0.0001583503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001483566,0.0001321413,0.001265297,0.0003126373,0.00003248495,0.0002030182,0.00007145494,0.0002400652,0.0016651,0.03292707,0.7717727,0.1912297],"study_design_scores_gemma":[0.00001570883,0.00001534609,0.0004314276,0.00004673954,0.000004042214,0.00004362637,0.00001645512,0.00006391694,0.0001642259,0.001038907,0.998154,0.000005635926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006069324,0.002521478,0.002689249,0.005223786,0.002311993,0.0002917981,0.009860152,0.00300006,0.9734946],"genre_scores_gemma":[0.01069028,0.004001053,0.005321495,0.003821847,0.001377067,0.0003303295,0.009519929,0.0008298272,0.9641081],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5227045,"threshold_uncertainty_score":0.7455746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009973023973201735,"score_gpt":0.2550343378826321,"score_spread":0.2450613139094303,"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."}}