{"id":"W2993750655","doi":"10.1002/essoar.10501243.1","title":"Sediment geochemistry reveals the Anthropocene history of metals in the Great Lakes","year":2019,"lang":"en","type":"article","venue":"","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Carbonate; Geology; Geochemistry; Sedimentary rock; Environmental science; Environmental chemistry; Drainage basin; Deposition (geology); Earth science; Chemistry; Geomorphology; Geography","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":[0.0001675917,0.0001843638,0.000161562,0.001560927,0.00046378,0.0006183933,0.0001445598,0.0002161696,0.0005122919],"category_scores_gemma":[0.0003897671,0.0002575434,0.0001635305,0.001834409,0.0007226108,0.0003731994,0.0006868984,0.0001535928,0.00009880916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006088087,"about_ca_system_score_gemma":0.0003373655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03841812,"about_ca_topic_score_gemma":0.07825575,"domain_scores_codex":[0.9999154,0.00001496469,0.000008049664,0.00003047441,0.00001552238,0.00001557389],"domain_scores_gemma":[0.9997702,0.00002448748,0.00009477502,0.00001572005,0.00006349266,0.00003133675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001075387,0.0000101451,0.9547438,0.0000789425,0.00009605062,0.0004234159,0.003863021,0.0004267661,0.02685761,0.0002442044,0.0002560339,0.01289256],"study_design_scores_gemma":[6.679069e-7,0.000007748303,0.9990956,0.000002565254,0.000008208312,0.0000352205,0.000227588,0.00006791401,0.0001867152,0.00001799666,0.0003479714,0.000001858862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988465,0.0002747639,0.00007987944,0.00003980653,0.000001097194,0.000002154469,0.0001295282,0.000009412515,0.0006167564],"genre_scores_gemma":[0.9991603,0.000249858,0.0001753724,0.0000174849,0.000004861404,0.000002697925,0.0001354221,0.000004287924,0.0002497785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9615819,"threshold_uncertainty_score":0.07638901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454422757689927,"score_gpt":0.2290844987406627,"score_spread":0.2145402711637634,"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."}}