{"id":"W2326897445","doi":"10.1021/es4038484","title":"Dissolved Organic Matter Kinetically Controls Mercury Bioavailability to Bacteria","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mercury (programming language); Bioavailability; Environmental chemistry; Dissolved organic carbon; Organic matter; Chemistry; Bacteria; Environmental science; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002563506,0.0003362422,0.0003047893,0.0001343415,0.0002693587,0.001066929,0.0002935799,0.0003996371,0.0004848853],"category_scores_gemma":[0.0007854185,0.0002250317,0.0001874159,0.0001701971,0.0002972574,0.0004623135,0.0004554279,0.0004774923,0.0002577483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008733806,"about_ca_system_score_gemma":0.0007478341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007075661,"about_ca_topic_score_gemma":0.007518259,"domain_scores_codex":[0.9996489,0.00005006385,0.00002468459,0.00008538869,0.0001112717,0.00007967972],"domain_scores_gemma":[0.9995292,0.0001555474,0.00009792358,0.00003012345,0.0001377675,0.00004942736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009653113,0.00002302894,0.003039614,0.00007515587,0.00001011263,0.00003409963,0.00003513322,0.0002901943,0.9936579,0.0001195921,0.00007593931,0.002542678],"study_design_scores_gemma":[0.000009874985,0.0002017734,0.01341222,0.00001128632,0.00002363261,0.00006286733,0.000187341,0.005800277,0.9773526,0.000205184,0.002711908,0.00002100787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925328,0.0007918947,0.003796587,0.0002765673,0.00004728883,0.00003396786,0.0004937788,0.00006746702,0.001959617],"genre_scores_gemma":[0.9956453,0.0005828962,0.00202346,0.00007709981,0.000007798741,0.00001716426,0.0003468716,0.0000235809,0.001275807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007075661,"threshold_uncertainty_score":0.01406896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005027532923010946,"score_gpt":0.2192417049630461,"score_spread":0.2142141720400351,"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."}}