{"id":"W2618056985","doi":"10.1139/facets-2017-0004","title":"A paleolimnological archive of metal sequestration and release in the Cumberland Basin Marshes, Atlantic Canada","year":2017,"lang":"en","type":"article","venue":"FACETS","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; Wilfrid Laurier University; Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; Acadia University","keywords":"Sediment; Wetland; Environmental science; Marsh; Aquatic ecosystem; Hydrology (agriculture); Sedimentation; Environmental chemistry; Geology; Ecology; Oceanography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000314713,0.0002896363,0.0002166674,0.00467866,0.001817294,0.0009672462,0.000667167,0.0001790684,0.001846891],"category_scores_gemma":[0.0006959239,0.0002164669,0.0001271429,0.007311739,0.0004834489,0.0002859863,0.0006166512,0.0001886641,0.0005114136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009849479,"about_ca_system_score_gemma":0.01234313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872386,"about_ca_topic_score_gemma":0.9965503,"domain_scores_codex":[0.9997682,0.00000976228,0.00002064136,0.00005635001,0.00008276157,0.00006241097],"domain_scores_gemma":[0.9983456,0.00004742595,0.0002183017,0.00009020176,0.001098745,0.0001997275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085308,0.00002500193,0.9430667,0.0001361172,0.00007712588,0.0003003064,0.002840061,0.0005970365,0.004668208,0.0003187111,0.008919808,0.03894255],"study_design_scores_gemma":[0.00000364881,0.000005214769,0.984259,0.00003053785,0.00001247301,0.00004690822,0.0006643051,0.0002980086,0.0003849415,0.00002408049,0.01426332,0.000007568972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254982,0.001313411,0.0005821702,0.0001812291,0.00001542982,0.00007159918,0.06211027,0.0001071761,0.01012035],"genre_scores_gemma":[0.9427635,0.001187252,0.002103583,0.0001178395,0.00001093707,0.00006767725,0.04214518,0.00006248269,0.01154154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276135,"threshold_uncertainty_score":0.07146329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479193832000172,"score_gpt":0.2292881460944239,"score_spread":0.2144962077744222,"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."}}