{"id":"W64120503","doi":"","title":"Effet de la végétation sur la mobilité de l’arsenic dans la rhizosphère.","year":2011,"lang":"fr","type":"dissertation","venue":"theses.fr (ABES)","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Humanities; Geography; Art","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":[0.0001694322,0.0002186734,0.0001780535,0.0001654162,0.00018433,0.0003595776,0.0002033,0.0004009715,0.001188132],"category_scores_gemma":[0.0001923283,0.0001711999,0.0002096607,0.00009300969,0.0002681679,0.0002425532,0.0002627203,0.0003993775,0.0002889594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700326,"about_ca_system_score_gemma":0.000169757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759337,"about_ca_topic_score_gemma":0.003889229,"domain_scores_codex":[0.999898,0.00003333226,0.000004529887,0.00002725988,0.00001666878,0.00002018966],"domain_scores_gemma":[0.9997516,0.0001017669,0.00003607909,0.0000139903,0.00003197873,0.000064552],"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":[0.0006673463,0.0000440099,0.001624046,0.00008334076,0.00001258947,0.00004251948,0.00004971419,0.00009581729,0.9942788,0.00003394276,0.00003145447,0.003036447],"study_design_scores_gemma":[0.0001023044,0.004116323,0.09654883,0.00003552466,0.00008787895,0.0002909511,0.000423392,0.004039476,0.8875152,0.0001907331,0.006612712,0.00003670299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979427,0.0008158244,0.0002166638,0.00008996026,0.00001118981,0.000006097465,0.0001001592,0.00001716093,0.0008002479],"genre_scores_gemma":[0.9976462,0.0004160703,0.000366057,0.00004600439,0.000004371411,0.000008239862,0.0001122989,0.000006958752,0.001393825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003759337,"threshold_uncertainty_score":0.007474899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006570601490433084,"score_gpt":0.2369792440863915,"score_spread":0.2304086425959584,"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."}}