{"id":"W3157961152","doi":"10.4236/gep.2021.94012","title":"Geochemistry and Heavy Metal Levels in the Sediments of the Port of Santa B&amp;#225;rbara de Samana, Dominican Republic","year":2021,"lang":"en","type":"article","venue":"Journal of Geoscience and Environment Protection","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondo Nacional de Innovación y Desarrollo Científico–Tecnológico; Ministrstvo za visoko šolstvo, znanost in tehnologijo","keywords":"Cadmium; Organic matter; Environmental chemistry; Mercury (programming language); Zinc; Sediment; Chromium; Metal toxicity; Sedimentation; Environmental science; Metal; Copper; Chemistry; Mineralogy; Heavy metals; Geology; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025045,0.0001193272,0.0002180987,0.0000356377,0.0001226351,0.00001847245,0.0002878602,0.00006758948,0.00023286],"category_scores_gemma":[0.0001534513,0.00007553505,0.00008073391,0.0002195895,0.0007090237,0.0002821147,0.0002608511,0.0002755239,0.000001422437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627496,"about_ca_system_score_gemma":0.00003514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001793801,"about_ca_topic_score_gemma":0.0000252857,"domain_scores_codex":[0.9980599,0.0002235523,0.0005435374,0.0002355662,0.000725016,0.0002123895],"domain_scores_gemma":[0.9990578,0.00005237318,0.0004873362,0.0003232402,0.000004094406,0.00007518326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006547405,0.0005696256,0.08933812,0.00004586549,0.00003211153,0.00001511246,0.001634149,0.001203254,0.8663112,0.000009675182,0.00006499077,0.04071042],"study_design_scores_gemma":[0.0003758322,0.0001440974,0.8717539,0.00004363529,0.00003880095,0.00037584,0.000640123,0.0001430684,0.1225447,0.0004075365,0.003442145,0.00009034084],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973593,0.0002287825,0.001082084,0.0009113905,0.0000651977,0.0001964002,0.000004535351,0.000001092931,0.0001512091],"genre_scores_gemma":[0.9973886,0.000577568,0.001686619,0.0001280122,0.00002188114,0.00000865469,3.29278e-7,0.000005108242,0.0001832442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7824157,"threshold_uncertainty_score":0.308023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842948642411181,"score_gpt":0.2505073935397327,"score_spread":0.2220779071156209,"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."}}