{"id":"W2021743522","doi":"10.1016/j.marpolbul.2003.12.011","title":"Distribution, enrichment and accumulation of heavy metals in coastal sediments of Alang–Sosiya ship scrapping yard, India","year":2004,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":165,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Sediment; Intertidal zone; Environmental science; Contamination; Yard; Environmental chemistry; Enrichment factor; Heavy metals; Organic matter; Oceanography; Geology; Chemistry; Ecology; Geomorphology; Biology","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":[0.0007820309,0.0001594948,0.0002644139,0.00006891431,0.00005579132,0.00000779315,0.0001177238,0.00008000813,0.001316157],"category_scores_gemma":[0.00009639835,0.0001617495,0.00005089195,0.0002423061,0.0002417754,0.00007859561,0.0004464451,0.0001064313,0.0000723081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000336133,"about_ca_system_score_gemma":0.00001235693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218373,"about_ca_topic_score_gemma":0.00009933435,"domain_scores_codex":[0.9983268,0.0001123841,0.0005428845,0.0002945254,0.0004435751,0.0002798568],"domain_scores_gemma":[0.9994365,0.00003403822,0.0002189995,0.0002169066,0.000006625885,0.0000869444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002143534,0.001120612,0.9108481,0.00009458097,0.00006756331,0.00001155879,0.0006902742,0.03484507,0.03868903,0.001320693,0.0007904585,0.01130766],"study_design_scores_gemma":[0.001196988,0.00009848732,0.9729552,0.00003354497,0.00001945983,0.000005224082,0.00006163357,0.00009471654,0.0203477,0.0005488182,0.00449341,0.0001448746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947366,0.00004443988,0.002546748,0.001130325,0.00006260915,0.0003803844,0.00006807585,0.00001454315,0.001016349],"genre_scores_gemma":[0.9975176,0.0000481285,0.002082023,0.0001041802,0.00001433715,0.00002192269,0.0001012773,0.0000104183,0.0001001045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06210699,"threshold_uncertainty_score":0.9995968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927191290554465,"score_gpt":0.2588780652229838,"score_spread":0.2396061523174392,"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."}}