{"id":"W4406376875","doi":"10.1002/rcm.9986","title":"Isolation and Identification of Mercury–Dissolved Organic Matter Complexes in Mercury–Humic Acid Suspensions","year":2025,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Chemistry; Dissolved organic carbon; Fourier transform ion cyclotron resonance; Solid phase extraction; Mercury (programming language); Humic acid; Mass spectrometry; Environmental chemistry; Chromatography; Electrospray ionization; Methylmercury; Cartridge; Organic matter; Bioavailability; Organic chemistry; Bioaccumulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000153071,0.0003699926,0.0001936553,0.0004822288,0.0002509828,0.0003523093,0.0001431648,0.0003150144,0.0005595987],"category_scores_gemma":[0.0002583764,0.0001386115,0.0001362295,0.0001857068,0.000267607,0.0001531397,0.0002333471,0.0003153717,0.000251672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835867,"about_ca_system_score_gemma":0.0002578355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094077,"about_ca_topic_score_gemma":0.001802777,"domain_scores_codex":[0.9998067,0.00002155236,0.00001550405,0.00005743202,0.00007328608,0.00002548681],"domain_scores_gemma":[0.9998704,0.00003053182,0.00002498107,0.000008476757,0.00004436757,0.00002112657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000124764,0.000005622132,0.0002532893,0.00001319742,0.000002748,0.00001569649,0.000007296446,0.00001543695,0.998841,0.000008343013,0.00001057042,0.000814363],"study_design_scores_gemma":[0.000003943312,0.00005971958,0.00398369,0.000003778319,0.000007328647,0.00005706699,0.00001929454,0.0004599753,0.9946239,0.00001927973,0.0007586999,0.000003287375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837273,0.001003688,0.01311574,0.00008298132,0.00003429813,0.00015187,0.0003785,0.0001148112,0.001390823],"genre_scores_gemma":[0.9662223,0.000707352,0.02948542,0.0001542035,0.00002862375,0.0001008852,0.0005752144,0.00004408408,0.002681823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001094077,"threshold_uncertainty_score":0.00217545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925584747811445,"score_gpt":0.2904670193160455,"score_spread":0.271211171837931,"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."}}