{"id":"W2083772985","doi":"10.1016/j.marpolbul.2014.07.066","title":"Source identification of heavy metal contamination using metal association and Pb isotopes in Ulsan Bay sediments, East Sea, Korea","year":2014,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Korea Institute of Geoscience and Mineral Resources; Chungnam National University","keywords":"Bay; Environmental science; Contamination; Pollution; Cadmium; Oceanography; Nonferrous metal; Submarine pipeline; Environmental chemistry; Geology; Chemistry; Metallurgy; 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":[0.002148533,0.0001734422,0.0002608214,0.0001088897,0.000105926,0.00003202234,0.0001258511,0.0001122199,0.001437543],"category_scores_gemma":[0.0003197361,0.0001846159,0.0000575605,0.0002008173,0.0001353747,0.000189238,0.0002641786,0.0001348739,0.0001648915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006984117,"about_ca_system_score_gemma":0.000006291863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323696,"about_ca_topic_score_gemma":0.0001815521,"domain_scores_codex":[0.9977874,0.0004178857,0.0005853218,0.0003790213,0.0005576076,0.000272814],"domain_scores_gemma":[0.9992128,0.00006521226,0.0004070099,0.0002255539,0.00001187638,0.00007753479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007788761,0.000569506,0.6844865,0.00004527225,0.00006940879,0.0000012545,0.0006698782,0.009527939,0.2483923,0.0003390982,0.0003829653,0.05543798],"study_design_scores_gemma":[0.0009265524,0.00008009672,0.9119248,0.00001614279,0.00007779415,0.000007631595,0.0001497323,0.0187685,0.04220802,0.0001616974,0.02541851,0.0002605443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861522,0.00002199412,0.01054583,0.001378458,0.0001263323,0.0003586896,0.00001096595,0.00002407137,0.001381509],"genre_scores_gemma":[0.9960744,0.00001647202,0.002063054,0.0001473626,0.00004216179,0.0000221458,0.0000354207,0.0000189451,0.001580058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2274383,"threshold_uncertainty_score":0.9994753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008430203456443573,"score_gpt":0.2158424829093254,"score_spread":0.2074122794528818,"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."}}