{"id":"W2809995176","doi":"10.1016/j.marpolbul.2018.06.031","title":"Assessment of trace metals contamination in surficial sediments along Lebanese Coastal Zone","year":2018,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Université de Lille","keywords":"Contamination; Environmental science; Pollution; Estuary; Trace metal; Sewage; Environmental chemistry; Outfall; Port (circuit theory); Heavy metals; Environmental engineering; Mining engineering; Geology; Oceanography; Metal; Chemistry; Engineering; Ecology","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":[0.0002542063,0.0003735541,0.0002344271,0.001757035,0.0007932009,0.001156654,0.0002308298,0.0003615477,0.0005310992],"category_scores_gemma":[0.0001652612,0.0001531898,0.0001951785,0.0008569733,0.0002705867,0.0002411652,0.0005902785,0.0001223861,0.0001448179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006838999,"about_ca_system_score_gemma":0.0008367275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04121289,"about_ca_topic_score_gemma":0.06782816,"domain_scores_codex":[0.999877,0.00001837466,0.00001551728,0.00002163121,0.00004059347,0.00002692184],"domain_scores_gemma":[0.9998454,0.000010075,0.00003497677,0.000003321394,0.00009014974,0.00001621624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000430825,0.0001047499,0.8623785,0.000259147,0.0001547405,0.002413631,0.002415723,0.001495146,0.09264293,0.0004183029,0.0003854228,0.03690085],"study_design_scores_gemma":[0.00001328226,0.000248421,0.9693581,0.00007172623,0.0001112373,0.000415693,0.005669103,0.00148509,0.01618433,0.0002039601,0.006223356,0.00001564176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978537,0.000387698,0.0002099996,0.00003747493,0.000005469181,0.000006467222,0.0001787075,0.000007667341,0.001312764],"genre_scores_gemma":[0.9970117,0.0004989404,0.0003805815,0.00002734301,0.000005245437,0.000006728136,0.0001705293,0.000003114913,0.001895778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04121289,"threshold_uncertainty_score":0.08194602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100411847907045,"score_gpt":0.2587472326128152,"score_spread":0.2487060478221107,"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."}}