{"id":"W7132922318","doi":"","title":"Understanding Sources and Cycling of Mercury in Terrestrial and Aquatic Ecosystems Using Mercury Stable Isotopes","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Aquatic ecosystem; Stable isotope ratio; Ecosystem; Trophic level; Biomagnification; Biota; Methylmercury; Food chain","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":[],"consensus_categories":[],"category_scores_codex":[0.0001790942,0.0002261989,0.0001531083,0.0006858053,0.0004037386,0.0007762875,0.0003644188,0.0004064828,0.0008257122],"category_scores_gemma":[0.0001483093,0.0002120167,0.0002326391,0.0007780567,0.0002664334,0.0008294129,0.0003323824,0.0003767386,0.000328044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107921,"about_ca_system_score_gemma":0.0007070198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243453,"about_ca_topic_score_gemma":0.07444785,"domain_scores_codex":[0.9999052,0.000005197033,0.000003773908,0.00003750688,0.0000362184,0.00001196273],"domain_scores_gemma":[0.9999489,0.00001020448,0.00001204161,0.000002534759,0.00002202557,0.000004338938],"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":[0.00008275881,0.0001143382,0.1724816,0.0011033,0.000156384,0.0002785531,0.002570453,0.006458181,0.5139372,0.006203068,0.003021989,0.2935921],"study_design_scores_gemma":[0.00001496188,0.0004861648,0.6444789,0.0005620284,0.0003156137,0.0007249162,0.005404977,0.03344733,0.1788588,0.01493319,0.1206191,0.0001540439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917747,0.0144334,0.0371626,0.001117206,0.0000407097,0.00009675698,0.002620162,0.0004052445,0.0263769],"genre_scores_gemma":[0.9047106,0.02513203,0.05151189,0.0006274308,0.0000443962,0.0001263749,0.002012325,0.00009299078,0.01574197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02243453,"threshold_uncertainty_score":0.04460788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09081815769760827,"score_gpt":0.341296321732237,"score_spread":0.2504781640346287,"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."}}