{"id":"W7014222946","doi":"","title":"Organic carbon, mercury and climate change: towards a better understanding of biotic contamination in the Canadian Arctic","year":2010,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","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); Weathering; Sediment; Biota; Climate change; Total organic carbon; Biomagnification; Arctic; Aquatic ecosystem; Ecosystem; Erosion","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":[0.0006074741,0.0004067933,0.0004009158,0.002751607,0.00405133,0.00281844,0.0005354053,0.0004926276,0.001421261],"category_scores_gemma":[0.0009626435,0.0002311408,0.0004680893,0.005939563,0.001021201,0.0009890302,0.001047028,0.0005795142,0.0001338556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02194564,"about_ca_system_score_gemma":0.02384524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935274,"about_ca_topic_score_gemma":0.996439,"domain_scores_codex":[0.9996678,0.00003032737,0.00001837241,0.00005111269,0.0001384433,0.00009402612],"domain_scores_gemma":[0.9991463,0.00006114954,0.0001393662,0.00001935788,0.0005000794,0.0001336391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005422512,0.0000339437,0.9605069,0.0001498991,0.0001428394,0.0001834503,0.002776501,0.00101738,0.001536179,0.001404047,0.001218455,0.03097622],"study_design_scores_gemma":[0.000001377074,0.000008325515,0.9890459,0.00004937177,0.00003491154,0.0000287088,0.002400326,0.0006133516,0.0001028536,0.0002485866,0.007448882,0.00001746076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544063,0.01795768,0.001142386,0.004480286,0.00008467286,0.00004801362,0.00478786,0.00004404159,0.01704887],"genre_scores_gemma":[0.9855833,0.009161945,0.001411287,0.0004207908,0.00002947588,0.00001317372,0.0008676333,0.00001555794,0.00249685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02194564,"threshold_uncertainty_score":0.1592275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275940333653615,"score_gpt":0.2233000848402695,"score_spread":0.195706051474908,"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."}}