{"id":"W6987249753","doi":"","title":"Spéciation de l'arsenic dans les produits de la pêche par couplage HPLC-ICP-MS après extraction assistée par micro-ondes (MAE). Contribution à l'évaluation des risques par l'estimation de sa bioaccessibilité","year":2008,"lang":"en","type":"dissertation","venue":"INRIA a CCSD electronic archive server","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arsenic; Certified reference materials; Inorganic arsenic; Extraction (chemistry); Solvent extraction; Genetic algorithm; Ion chromatography; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005242737,0.0005024279,0.0003655015,0.0006191956,0.0003997661,0.0007100878,0.0003701849,0.0006474045,0.001539988],"category_scores_gemma":[0.000808151,0.0003503569,0.0004672231,0.0003717292,0.0004827993,0.0004944489,0.0003937905,0.0006634064,0.0009466598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646082,"about_ca_system_score_gemma":0.0004742734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848834,"about_ca_topic_score_gemma":0.003416391,"domain_scores_codex":[0.9993786,0.00009580673,0.00002671685,0.0001686069,0.000306334,0.00002401397],"domain_scores_gemma":[0.9998363,0.00005023667,0.00002854706,0.00001820146,0.00005712661,0.000009541244],"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":[0.00007374404,0.00002442752,0.0006026567,0.00007940023,0.00002776548,0.00007135973,0.00009620301,0.0003018907,0.9834102,0.000123873,0.00006995542,0.01511852],"study_design_scores_gemma":[0.00001136092,0.0002226096,0.004247447,0.00001575001,0.00004491564,0.0003800926,0.00006808181,0.003205038,0.9862751,0.0001979291,0.005314066,0.00001752922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8581137,0.006202309,0.1251231,0.0003484034,0.0001572906,0.0002278284,0.0006943663,0.0004978083,0.008635187],"genre_scores_gemma":[0.8540826,0.006370665,0.1158918,0.0002362384,0.00006462267,0.0002173544,0.0008181354,0.0001881744,0.02213031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002848834,"threshold_uncertainty_score":0.005664587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117685754885212,"score_gpt":0.2732729952570896,"score_spread":0.2615044197685685,"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."}}