{"id":"W2027375859","doi":"10.1016/j.chemosphere.2012.07.022","title":"Novel silica sol–gel passive sampler for mercury monitoring in aqueous systems","year":2012,"lang":"en","type":"article","venue":"Chemosphere","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mercury (programming language); Aqueous solution; Environmental chemistry; Environmental science; Chemistry; Computer science; Organic chemistry","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":[0.0003348182,0.0004644853,0.0002688284,0.0002048047,0.0002976762,0.0002363266,0.000612599,0.0006362337,0.0009869311],"category_scores_gemma":[0.0001626598,0.0003114001,0.0003091711,0.00009590467,0.0002448264,0.0003988369,0.0002612431,0.0003604371,0.0005948356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526594,"about_ca_system_score_gemma":0.0003007912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000591321,"about_ca_topic_score_gemma":0.00181014,"domain_scores_codex":[0.9998277,0.00002405458,0.000008585495,0.00005724987,0.00006502354,0.00001724514],"domain_scores_gemma":[0.9998945,0.00002782459,0.00001272143,0.00001133035,0.00003452597,0.00001904801],"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":[0.00005305717,0.00002727994,0.00009631924,0.00002489292,0.000007942959,0.00002460341,0.000009693023,0.00003941889,0.9979674,0.00003283107,0.00004466306,0.001671737],"study_design_scores_gemma":[0.00002266113,0.0002752181,0.0008221587,0.000002278516,0.00002113035,0.0001587838,0.00001181532,0.001873582,0.9951168,0.00003080077,0.00165667,0.000008018196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920449,0.002878458,0.07203266,0.0003679812,0.0002786041,0.000167722,0.000247857,0.0006101305,0.002967588],"genre_scores_gemma":[0.9389627,0.00128549,0.05033354,0.0003464426,0.00008842281,0.0001109872,0.0003539811,0.00003811543,0.008480276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009869311,"threshold_uncertainty_score":0.00330162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716066750034017,"score_gpt":0.2811606338664258,"score_spread":0.2439999663660856,"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."}}