{"id":"W2000901133","doi":"10.1016/j.ecolind.2015.01.037","title":"The SET and ERITME indices: Integrative tools for the management of polluted sites","year":2015,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère de la Transition écologique et Solidaire; National Research Council Canada; Agence de l'Environnement et de la Maîtrise de l'Energie","keywords":"Metalloid; Risk assessment; Environmental science; TRACE (psycholinguistics); Environmental chemistry; Risk management; Trace element; Weighting; Set (abstract data type); Computer science; Environmental resource management; Risk analysis (engineering); Chemistry; Business; Metal","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00594965,0.001837828,0.001979716,0.01214119,0.0006662037,0.003901175,0.001889123,0.0008917922,0.007168019],"category_scores_gemma":[0.01793941,0.0005009823,0.00146243,0.007823066,0.0005530493,0.002657783,0.003399209,0.001258831,0.001251535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000871631,"about_ca_system_score_gemma":0.00122477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595571,"about_ca_topic_score_gemma":0.007899836,"domain_scores_codex":[0.99597,0.001518854,0.0004387156,0.0003199504,0.001602809,0.0001496128],"domain_scores_gemma":[0.9901652,0.004959087,0.002181384,0.0008206342,0.001523028,0.0003506672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008912262,0.0005561761,0.1645977,0.001466267,0.001581235,0.0001465972,0.0008297652,0.0530297,0.00437529,0.02852173,0.01645942,0.7275448],"study_design_scores_gemma":[0.0002776214,0.001264248,0.2765496,0.0009330477,0.001698331,0.001034801,0.002837507,0.4928833,0.01506192,0.1235847,0.08319914,0.0006757689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1596072,0.002123905,0.77097,0.0007080021,0.0002152544,0.0007604819,0.02773375,0.007177645,0.03070378],"genre_scores_gemma":[0.3836467,0.000938578,0.599918,0.0001276043,0.0001461197,0.001080389,0.009516105,0.0005524402,0.004074078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01214119,"threshold_uncertainty_score":0.03146511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05653423997350762,"score_gpt":0.2945056070772802,"score_spread":0.2379713671037726,"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."}}