{"id":"W2089063744","doi":"10.1007/s12601-014-0027-4","title":"Integrative assessment of sediment quality in terms of chemical contamination in Jinhae Bay, South Korea","year":2014,"lang":"en","type":"article","venue":"Ocean Science Journal","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Ocean Sciences; National Research Council Canada; Korea Institute of Ocean Science and Technology; Korea Institute of Science and Technology","keywords":"Sediment; Bay; Pollutant; Environmental science; Contamination; Water quality; Hydrology (agriculture); Geology; Oceanography; Ecology; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004900974,0.0004961733,0.0005110918,0.002028662,0.0005844432,0.0009945214,0.0004203826,0.0003704982,0.0003342617],"category_scores_gemma":[0.0002975831,0.0002854809,0.0005633332,0.002000931,0.000368519,0.000546899,0.001129712,0.0002116552,0.00007615628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006980161,"about_ca_system_score_gemma":0.00116504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03482911,"about_ca_topic_score_gemma":0.07978858,"domain_scores_codex":[0.9997258,0.00003641675,0.00005442634,0.00008693166,0.00005709502,0.00003934227],"domain_scores_gemma":[0.9996717,0.00002001121,0.0001016624,0.00001991681,0.0001447175,0.00004207656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002005552,0.0001078314,0.9629759,0.0001560088,0.0003574294,0.0004034052,0.001293169,0.001415854,0.01677714,0.0001000632,0.0001417183,0.01607097],"study_design_scores_gemma":[0.000006355638,0.000113253,0.9924954,0.00001867709,0.0002319657,0.0001445112,0.002861089,0.002475749,0.001129416,0.00007955203,0.0004288804,0.00001519842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992805,0.0000805274,0.0002086974,0.00001857403,0.000001405759,0.000009383016,0.000138644,0.000004368787,0.0002578647],"genre_scores_gemma":[0.9990523,0.0001005931,0.0004668976,0.00001487402,0.000001393728,0.000006249736,0.0001735371,0.000002417617,0.0001817478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03482911,"threshold_uncertainty_score":0.06925279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483508584865571,"score_gpt":0.31502889064605,"score_spread":0.3001938047973943,"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."}}