{"id":"W2035880009","doi":"10.1016/j.soilbio.2008.06.006","title":"Influence of microorganisms on Cu speciation in the rhizosphere of forest soils","year":2008,"lang":"en","type":"article","venue":"Soil Biology and Biochemistry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhizosphere; Genetic algorithm; Environmental chemistry; Soil water; Chemistry; Mineralization (soil science); Bulk soil; Microorganism; Microbial population biology; Biomass (ecology); Soil organic matter; Agronomy; Biology; Ecology; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001836803,0.00007199769,0.0001010532,0.000005680462,0.00003393145,7.491747e-7,0.0001499623,0.0001128323,0.00007865862],"category_scores_gemma":[0.00005269068,0.00004966652,0.00001984312,0.0000719879,0.0006452277,0.00001842672,0.00005867441,0.00008745582,0.00001631749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002495364,"about_ca_system_score_gemma":0.000007013685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036791,"about_ca_topic_score_gemma":0.00002827341,"domain_scores_codex":[0.9994527,0.0000379926,0.0001675709,0.0001568104,0.00007697626,0.0001079399],"domain_scores_gemma":[0.9996614,0.00006039312,0.00008183688,0.000176401,0.000002023549,0.00001792017],"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":[0.00001060581,0.0000583744,0.480143,0.000007150757,0.000002420961,0.000001349289,0.0001427923,0.0003952098,0.5187908,0.00002355696,0.00004770096,0.0003769386],"study_design_scores_gemma":[0.00009007932,0.00003663068,0.5184719,0.000006094133,0.000001770125,0.000006637311,0.00004275158,0.000004516628,0.4810216,0.0002152333,0.00006723246,0.00003547651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998077,0.00008716198,0.000003206471,0.0001074439,0.00001000619,0.00005477069,0.000006883644,0.000002372849,0.001651182],"genre_scores_gemma":[0.9995533,0.0001448242,0.0001040906,0.0001170059,0.00001326043,0.000003702013,0.000005661938,0.000002522391,0.00005563605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03832887,"threshold_uncertainty_score":0.2377368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006231365867180851,"score_gpt":0.2130669041278814,"score_spread":0.2068355382607006,"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."}}