{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009556207,0.001095264,0.00142068,0.0006034615,0.0003137353,0.00005614741,0.0009478542,0.001059198,0.0008085438],"category_scores_gemma":[0.0002576059,0.001316968,0.000249941,0.0006932106,0.002058079,0.0006024155,0.001328771,0.001233455,0.0009515848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806591,"about_ca_system_score_gemma":0.0001334862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463396,"about_ca_topic_score_gemma":0.001587411,"domain_scores_codex":[0.9930871,0.0006290058,0.001749737,0.001960365,0.0006977742,0.001876047],"domain_scores_gemma":[0.9968576,0.0007203572,0.0005895348,0.001278996,0.00000482281,0.000548715],"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":[0.0002330955,0.004276613,0.03540946,0.00003360188,0.00005446669,0.0002684025,0.0005724591,0.006982712,0.892332,0.00005544285,0.0003476248,0.05943417],"study_design_scores_gemma":[0.009361821,0.0008892188,0.0672925,0.000236687,0.00007110566,0.0001941317,0.001871498,0.01231946,0.8997071,0.00123229,0.005533068,0.001291101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659196,0.00371927,0.004938174,0.021936,0.000160598,0.001855297,0.0008847353,0.0001222037,0.0004641507],"genre_scores_gemma":[0.9753023,0.001391196,0.01994849,0.0007088408,0.00007411253,0.0001549516,0.00009785245,0.0001813956,0.002140874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05814307,"threshold_uncertainty_score":0.9998263,"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."}}