{"id":"W1980521120","doi":"10.1016/j.atmosenv.2013.10.016","title":"Seasonal and diurnal patterns of speciated atmospheric mercury at a coastal-rural and a coastal-urban site","year":2013,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Dartmouth College","keywords":"Mercury (programming language); Environmental science; Atmospheric sciences; Daytime; Climatology; Geology","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":[0.00008968105,0.0001683387,0.0001751851,0.0005173435,0.000557631,0.0003015691,0.000329445,0.0002769539,0.001396673],"category_scores_gemma":[0.0001708695,0.0001408106,0.0001662676,0.0006537529,0.0002402683,0.0001962135,0.0003904531,0.0002117375,0.0002742692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739906,"about_ca_system_score_gemma":0.0002045091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02830136,"about_ca_topic_score_gemma":0.1036221,"domain_scores_codex":[0.9999362,0.000006950635,0.000003527574,0.00002078709,0.00001447183,0.00001798844],"domain_scores_gemma":[0.9997984,0.00002862907,0.00003003639,0.00001173777,0.00006923537,0.0000620174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001532922,0.0003048861,0.9135059,0.00005896546,0.0001225132,0.0005606921,0.002504886,0.0007201545,0.07202087,0.0001234801,0.0007547507,0.007789954],"study_design_scores_gemma":[0.000005421604,0.00004424278,0.9980103,7.136967e-7,0.000009080171,0.0000525389,0.0005823465,0.0002166902,0.0008054129,0.00000947546,0.0002596999,0.000003947436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987669,0.00001179643,0.0000600421,0.0000103144,0.000002084777,0.000003801195,0.0004776877,0.0000129454,0.0006544293],"genre_scores_gemma":[0.9984336,0.00001672851,0.0001776769,0.000007601721,0.000003827832,0.00000802043,0.0005567307,0.000005604073,0.0007902362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02830136,"threshold_uncertainty_score":0.05627328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005859195091492055,"score_gpt":0.1921036976422414,"score_spread":0.1862445025507494,"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."}}