{"id":"W4311165669","doi":"10.1101/2022.12.01.518449","title":"Mercury contamination of an introduced generalist fish of intermediate trophic level","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Manitoba Hydro","keywords":"Mercury (programming language); Biomagnification; Trophic level; Bioaccumulation; Environmental science; Wetland; Environmental chemistry; Food chain; Contamination; Ecology; Fishery; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001245949,0.0002454565,0.000126339,0.0005948364,0.0005613299,0.0002997406,0.0001681301,0.0001491262,0.0008626366],"category_scores_gemma":[0.0001641205,0.0001285177,0.0001173586,0.0003337984,0.0003467038,0.0001162082,0.0002639322,0.0001812537,0.00008628282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282355,"about_ca_system_score_gemma":0.000637566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1933902,"about_ca_topic_score_gemma":0.4580242,"domain_scores_codex":[0.9999145,0.000005433006,0.000003420507,0.00002779216,0.00002561276,0.00002314807],"domain_scores_gemma":[0.9997801,0.00001143941,0.00004773949,0.000009257424,0.00009088544,0.00006044082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002409252,0.00005097568,0.8704573,0.00003505827,0.00005203862,0.0004083236,0.001219266,0.0001156375,0.1224124,0.00005014122,0.00009203299,0.004865957],"study_design_scores_gemma":[0.000001333013,0.0001076871,0.9976775,0.000001776436,0.0000100354,0.00008922743,0.0003702791,0.00008700062,0.001459793,0.000005451272,0.0001873791,0.000002533006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997873,0.000008140286,0.00002210458,0.000002983484,3.250148e-7,0.000001590825,0.00002656838,0.000001462686,0.0001495975],"genre_scores_gemma":[0.9990243,0.00002412983,0.0001603501,0.00001205757,6.077333e-7,0.000002854076,0.00007649037,0.00000112844,0.000698066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1933902,"threshold_uncertainty_score":0.3845292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514703568079746,"score_gpt":0.2450285704437822,"score_spread":0.2198815347629848,"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."}}