{"id":"W2279495126","doi":"10.1007/s11356-016-6198-z","title":"On the bioavailability of trace metals in surface sediments: a combined geochemical and biological approach","year":2016,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Fonds De La Recherche Scientifique - FNRS","keywords":"Ecotoxicology; Bioavailability; Environmental chemistry; TRACE (psycholinguistics); Sediment; Environmental science; Heavy metals; Geology; Trace element; Geochemistry; Chemistry; Biology; Geomorphology; Bioinformatics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007517254,0.0001427512,0.0001733723,0.00006695017,0.0002931213,0.00002135357,0.0004075081,0.00008548669,0.001229713],"category_scores_gemma":[0.0004800628,0.00007430609,0.00002675179,0.0004912136,0.01082005,0.0002328799,0.0007625904,0.0002276963,0.0001216562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005196009,"about_ca_system_score_gemma":0.00001691095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024382,"about_ca_topic_score_gemma":0.000003072616,"domain_scores_codex":[0.9966415,0.0005045573,0.0002760887,0.0006673297,0.001362838,0.0005477034],"domain_scores_gemma":[0.9989334,0.0004335572,0.00005226278,0.0003822397,0.000003138292,0.000195416],"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":[0.0000734545,0.0004585452,0.06986095,0.000003001293,0.000003578458,0.000001163574,0.000228223,0.00003858461,0.9223408,0.0006997139,0.0001584937,0.006133527],"study_design_scores_gemma":[0.0007538314,0.0005023076,0.8658839,0.00001973146,0.000003331077,0.000006917003,0.0006115821,0.000577215,0.1272666,0.002939446,0.00123452,0.0002006392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955683,0.00009176981,0.00002872834,0.002244521,0.00001819309,0.0005309155,0.00002166544,0.000006137359,0.00148971],"genre_scores_gemma":[0.9991279,0.0002810315,0.0002992785,0.0001054481,0.000005401558,0.00002904078,7.182499e-7,0.000005319078,0.0001459055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.796023,"threshold_uncertainty_score":0.9996833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899336299882064,"score_gpt":0.3091349276568766,"score_spread":0.2501415646580559,"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."}}