{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001358076,0.0001883241,0.0002822869,0.0000917385,0.00007918044,0.00001259542,0.0001986125,0.00009280705,0.01770167],"category_scores_gemma":[0.00008564707,0.0001912749,0.00006481371,0.0002563369,0.0004055379,0.00009707528,0.0004176674,0.0001449216,0.0006204912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944504,"about_ca_system_score_gemma":0.00001736598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390018,"about_ca_topic_score_gemma":0.002264446,"domain_scores_codex":[0.9977793,0.000268715,0.0005722348,0.0003813391,0.0006575822,0.0003407901],"domain_scores_gemma":[0.9993466,0.0000540955,0.0002069772,0.0002898724,0.00001192319,0.00009053011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001600437,0.002034012,0.8468093,0.00003625494,0.00006357744,0.00004473978,0.0006424371,0.003695083,0.08257156,0.0009448775,0.003098731,0.05989943],"study_design_scores_gemma":[0.0009228394,0.0002118829,0.9527086,0.00001164392,0.00001845727,0.000007998704,0.00008223743,0.001403893,0.009363916,0.00005022958,0.03503506,0.0001832415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760644,0.000008294133,0.003811387,0.001140358,0.0002373124,0.0004089454,0.00001822564,0.00002545969,0.01828557],"genre_scores_gemma":[0.9923031,0.00001182316,0.004892089,0.0001615244,0.00007332563,0.00003162498,0.00002391096,0.00001891863,0.002483698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058993,"threshold_uncertainty_score":0.9831963,"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."}}