{"id":"W2004770850","doi":"10.1007/s00254-004-0968-5","title":"Spatial variations in heavy metals on tidal flats in the Yangtze Estuary, China","year":2004,"lang":"en","type":"article","venue":"Environmental Geology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Georgetown Hospital","funders":"","keywords":"Estuary; Salt marsh; Sediment; Turbidity; Hydrology (agriculture); Submarine pipeline; Environmental science; Marsh; Oceanography; Geology; Tidal flat; Geomorphology; Geotechnical engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008380838,0.0003296727,0.0003196866,0.0001079612,0.0001424332,0.00001516527,0.0005908863,0.0001922173,0.005149468],"category_scores_gemma":[0.00004895299,0.0002698279,0.00009916237,0.0002237861,0.0006314969,0.0001817202,0.0003612741,0.0005381342,0.004481142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008622874,"about_ca_system_score_gemma":0.00001045491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933434,"about_ca_topic_score_gemma":0.001859867,"domain_scores_codex":[0.9970942,0.0004456513,0.0005158377,0.0006887941,0.0005763986,0.0006790818],"domain_scores_gemma":[0.9989897,0.0001406891,0.0001072109,0.0006591561,2.304124e-7,0.0001030041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000225474,0.005441492,0.7018038,0.000007558018,0.00005097703,0.0006164639,0.008495595,0.2489535,0.0154308,0.002786897,0.0003377659,0.01584966],"study_design_scores_gemma":[0.00126193,0.0003488018,0.9890941,0.000006537494,0.00001234426,0.00005566489,0.0001574869,0.0003332259,0.001350393,0.003409893,0.003681642,0.0002879586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858311,0.00005000742,0.0007550536,0.002954736,0.0002332919,0.0007046918,0.00001109085,0.00002139375,0.00943866],"genre_scores_gemma":[0.9968554,0.00006459293,0.001015594,0.001500885,0.00007005218,0.0001661922,0.00003542513,0.0000293818,0.0002624872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872903,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008118867174495753,"score_gpt":0.2225805699945524,"score_spread":0.2144617028200567,"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."}}