{"id":"W1512089689","doi":"","title":"GEOCHEMICAL FRACTIONATION OF TOXIC TRACE HEAVY METALS (CR, CU, PB, AND ZN) FROM THE ESTUARINE SEDIMENTS OF 5 RIVER MOUTHS AT JAKARTA BAY, INDONESIA","year":2010,"lang":"en","type":"article","venue":"Journal of Coastal Zone Management","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Environmental chemistry; Fraction (chemistry); Estuary; Fractionation; Sediment; Zinc; Copper; Metal; Chromium; Chemistry; Environmental science; Geology; Oceanography","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":[0.00006189678,0.0003045407,0.0002055501,0.000904271,0.0004936808,0.0007074357,0.0001560512,0.0001813105,0.0004327961],"category_scores_gemma":[0.00007505428,0.0001846639,0.0001684027,0.0007191375,0.0002467212,0.0001585747,0.0002809913,0.0002118526,0.0001405321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590224,"about_ca_system_score_gemma":0.0003467213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472288,"about_ca_topic_score_gemma":0.04511406,"domain_scores_codex":[0.9999197,0.000004783355,0.0000106298,0.00002626649,0.00002695536,0.00001176611],"domain_scores_gemma":[0.9999516,0.000004176967,0.0000143551,0.000001791395,0.00001696117,0.00001124391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004565954,0.0001063057,0.5822097,0.0003265914,0.0001115483,0.001183426,0.002058954,0.0005622586,0.3972917,0.0001310921,0.0002383605,0.01532343],"study_design_scores_gemma":[0.000003275545,0.00006472521,0.977469,0.00001732628,0.00003653043,0.0002806394,0.001143475,0.0003498482,0.01949877,0.00002971535,0.001098782,0.00000793298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985064,0.0002690727,0.0001005526,0.00001093656,0.000003364275,0.000004407086,0.0002991871,0.000004996441,0.0008012177],"genre_scores_gemma":[0.9974588,0.0004539261,0.0002665151,0.00002597598,0.000002524548,0.000008494981,0.0004042173,0.00000441035,0.001375194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02472288,"threshold_uncertainty_score":0.04915792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007698984845469626,"score_gpt":0.224504624059644,"score_spread":0.2168056392141744,"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."}}