{"id":"W2010510909","doi":"10.1080/09593332508618426","title":"A New<i>In Vitro</i>Test to Simulate Gastric Absorption of Copper, Lead, Tin and Zinc from Polluted Soils Mise au Point d'un Test<i>In Vitro</i>Simulant le Suc Gastrique pour Dépister les Sols Contaminés par le Cuivre, le Plomb, l'Étain et le Zinc","year":2002,"lang":"fr","type":"article","venue":"Environmental Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Zinc; Chemistry; Toxicity characteristic leaching procedure; Environmental chemistry; Copper; Carbonate; Soil water; Tin; Leaching (pedology); Metallurgy; Inorganic chemistry; Materials science; Heavy metals; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006905737,0.001035139,0.000827719,0.0006033211,0.0002512234,0.0004417125,0.0006388926,0.0009614441,0.001428225],"category_scores_gemma":[0.0008279158,0.0003803977,0.0009735535,0.0004870201,0.0004062411,0.0004586529,0.0005968744,0.0005883256,0.0004761279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401001,"about_ca_system_score_gemma":0.0004433241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129777,"about_ca_topic_score_gemma":0.001913361,"domain_scores_codex":[0.9989685,0.000346282,0.0001002654,0.0002043886,0.0002956948,0.00008493324],"domain_scores_gemma":[0.999145,0.0003457832,0.000149438,0.00008894226,0.0001680808,0.0001026719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002752991,0.0001235849,0.001528524,0.0001361475,0.00002496667,0.0000686328,0.00003453728,0.0001956159,0.995571,0.00002892097,0.00003933683,0.001973427],"study_design_scores_gemma":[0.00004268154,0.005322675,0.006498436,0.00001480627,0.00009370915,0.0005927113,0.0000511124,0.001995059,0.9838232,0.00003334627,0.001514293,0.00001796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430839,0.002243808,0.04964583,0.0001362762,0.0001604267,0.0005804303,0.001088066,0.0004237255,0.002637569],"genre_scores_gemma":[0.9161868,0.002484267,0.07107519,0.0001953085,0.00006065565,0.0005478018,0.002901155,0.00009940656,0.0064494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428225,"threshold_uncertainty_score":0.004777849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085402950544209,"score_gpt":0.2124137146537216,"score_spread":0.2015596851482795,"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."}}