{"id":"W2145238095","doi":"10.1002/chin.200627275","title":"Soils Contaminated by Heavy Metals: Geochemical Distribution and Restoration Techniques. Part 2","year":2006,"lang":"en","type":"article","venue":"ChemInform","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Chemistry; Heavy metals; Soil water; Environmental chemistry; Contamination; Distribution (mathematics); Service (business); Soil science; Geology; Ecology; Business","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":[0.0003287685,0.0004168003,0.0002909389,0.001186289,0.0003654349,0.0005293831,0.000385274,0.0003659938,0.006752303],"category_scores_gemma":[0.0003732524,0.0002454249,0.0003207398,0.0006909236,0.0004240196,0.0003409791,0.000279199,0.0003312076,0.00164586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069133,"about_ca_system_score_gemma":0.0004355718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483917,"about_ca_topic_score_gemma":0.004112108,"domain_scores_codex":[0.9998485,0.00001999319,0.000008325822,0.00003596088,0.00007385902,0.00001333427],"domain_scores_gemma":[0.9999034,0.00002060738,0.00002104756,0.00001589532,0.00003053007,0.000008377367],"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":[0.0006327115,0.000314951,0.003668507,0.0006451199,0.00003830217,0.0001362899,0.00008859387,0.001327709,0.815451,0.0003594271,0.004442892,0.1728945],"study_design_scores_gemma":[0.00006236599,0.0007486065,0.03821197,0.00004685158,0.0001362957,0.0008649777,0.0001565786,0.003251842,0.9137176,0.0009776873,0.04179324,0.00003201863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7973521,0.02705857,0.1236797,0.001588609,0.0007580078,0.001346229,0.006210541,0.003109722,0.03889662],"genre_scores_gemma":[0.8056082,0.0197621,0.08780888,0.0003590617,0.0001532317,0.0003250157,0.004600024,0.0004442099,0.08093921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006752303,"threshold_uncertainty_score":0.02258873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006489239139528589,"score_gpt":0.2136789686718319,"score_spread":0.2071897295323034,"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."}}