{"id":"W3153868151","doi":"10.1016/j.envpol.2021.117143","title":"Assessing natural recovery from contaminants in a river using sediment chemistry and toxicity from different depth ranges","year":2021,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sediment; Environmental chemistry; Tubifex tubifex; Hyalella azteca; Invertebrate; Benthic zone; Ecotoxicology; Environmental science; Ecology; Chemistry; Crustacean; Biology; Amphipoda","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001973594,0.0002438566,0.0002265365,0.0005126105,0.0004451866,0.0004795379,0.0003537937,0.0002582023,0.0002821578],"category_scores_gemma":[0.000527584,0.0001892275,0.0001374943,0.0007463628,0.0003768329,0.0003471073,0.0003718414,0.0002287131,0.00007878129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111063,"about_ca_system_score_gemma":0.0008089284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1256109,"about_ca_topic_score_gemma":0.3596215,"domain_scores_codex":[0.999773,0.00001589158,0.00001862197,0.00006155616,0.00009138088,0.00003963112],"domain_scores_gemma":[0.9994578,0.00002634492,0.0002028331,0.00002259148,0.0002375828,0.00005287677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204635,0.00005907804,0.9481692,0.00003504764,0.00005423814,0.0001203941,0.0004858305,0.0001926902,0.04463735,0.00002000065,0.0000687256,0.006036955],"study_design_scores_gemma":[0.000001060946,0.00006766836,0.9982528,0.000001744963,0.000007104956,0.00002798365,0.00016908,0.00008940567,0.001203053,0.000004058213,0.0001744464,0.000001621571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993538,0.00005816744,0.0001274956,0.00001126408,5.763117e-7,0.000009874146,0.0001531951,0.000005463203,0.0002800651],"genre_scores_gemma":[0.9985007,0.00007899309,0.0003860649,0.00002378675,0.000001194274,0.00001452205,0.0004189964,0.000002367293,0.0005735229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1256109,"threshold_uncertainty_score":0.2497596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240817318040731,"score_gpt":0.2310185259640032,"score_spread":0.2186103527835959,"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."}}