{"id":"W4225306885","doi":"10.1016/j.envpol.2022.119361","title":"Seasonal pollutant levels in littoral high-Arctic amphipods in relation to food sources and terrestrial run-off","year":2022,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Norges Forskningsråd","keywords":"Hexachlorobenzene; Environmental chemistry; Arctic; Dry weight; Phytoplankton; Subarctic climate; Benthic zone; Pollutant; Environmental science; Ecology; Chemistry; Biology; Nutrient","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":[0.00008426641,0.0001656567,0.0001658837,0.0004260643,0.0003190198,0.0004059273,0.0001151009,0.0002022401,0.0005438228],"category_scores_gemma":[0.0001776428,0.0001755074,0.0001270551,0.0002852453,0.0002030944,0.0001507668,0.0002481629,0.0001995989,0.000125745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183499,"about_ca_system_score_gemma":0.0001406735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078212,"about_ca_topic_score_gemma":0.03338293,"domain_scores_codex":[0.9999535,0.0000051386,0.000003988553,0.00001823116,0.000008939394,0.00001026429],"domain_scores_gemma":[0.9998057,0.00002418371,0.00007574125,0.000008164125,0.0000375186,0.0000487172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004521947,0.00003999992,0.9227342,0.00002656848,0.0000802281,0.0001202233,0.0003925262,0.0001729427,0.07225305,0.00001907284,0.00005501779,0.003654045],"study_design_scores_gemma":[8.162158e-7,0.00003497545,0.9992071,0.000001186141,0.000006472967,0.00002366982,0.00008179341,0.00004256924,0.0005499487,0.000003245047,0.00004695576,0.000001270501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997322,0.00003433404,0.00001414499,0.00000182231,4.884452e-7,7.478811e-7,0.00007287619,0.000001159894,0.000142267],"genre_scores_gemma":[0.9991546,0.00005479934,0.0001016625,0.00001094784,0.000001738523,0.000006788264,0.0003449118,0.000001939384,0.000322703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01078212,"threshold_uncertainty_score":0.02143872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016228310466388,"score_gpt":0.2334664515788158,"score_spread":0.2133041684741519,"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."}}