{"id":"W4392311214","doi":"","title":"Ecotoxicity and bioaccumulation of Cr(III) and Cr(VI) : speciation, bioavailability and biological effects","year":2017,"lang":"fr","type":"preprint","venue":"","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds National de la Recherche Luxembourg; Akademia Górniczo-Hutnicza im. Stanislawa Staszica; Centre National de la Recherche Scientifique; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Agence Nationale de la Recherche","keywords":"Bioaccumulation; Bioavailability; Ecotoxicity; Environmental chemistry; Genetic algorithm; Chemistry; Pharmacology; Biology; Organic chemistry; Ecology; Toxicity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009688308,0.0004081454,0.0005686491,0.0006315419,0.0003330101,0.001101158,0.0006485695,0.001029304,0.0007478216],"category_scores_gemma":[0.0008947444,0.000274115,0.0008946744,0.0005192145,0.000418406,0.0007009726,0.0006192992,0.0006671199,0.0002405612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403877,"about_ca_system_score_gemma":0.0009867587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161063,"about_ca_topic_score_gemma":0.01423322,"domain_scores_codex":[0.9993593,0.00009949163,0.00004983858,0.0001853049,0.0002248097,0.00008132686],"domain_scores_gemma":[0.9995409,0.00008513383,0.0001005256,0.00005248891,0.0001881126,0.0000327756],"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":[0.0003586497,0.0001044549,0.007106231,0.0008783169,0.0001659203,0.0001637784,0.0002240269,0.002682863,0.956688,0.001532075,0.0002943059,0.02980135],"study_design_scores_gemma":[0.00003369301,0.001595306,0.05649431,0.0001195912,0.0003937743,0.001317549,0.0005767093,0.01357842,0.905144,0.002255657,0.01837764,0.0001133563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499109,0.02540069,0.01864882,0.001066748,0.0001053475,0.00007892623,0.0006130608,0.00009636925,0.004079222],"genre_scores_gemma":[0.9751515,0.01179641,0.007527829,0.0003342447,0.0000243703,0.00005299308,0.0005072334,0.00002771452,0.004577557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0161063,"threshold_uncertainty_score":0.0320251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180457854171357,"score_gpt":0.258240446172791,"score_spread":0.2364358676310774,"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."}}