{"id":"W2803302164","doi":"10.1007/s11356-018-2263-0","title":"Evaluating a 5-year metal contamination remediation and the biomonitoring potential of a freshwater gastropod along the Xiangjiang River, China","year":2018,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Environmental remediation; Biomonitoring; Environmental science; Sediment; Environmental chemistry; Trace metal; Ecotoxicology; Contamination; Pollution; Biota; Water quality; Surface water; Water pollution; Aquatic ecosystem; Ecology; Environmental engineering; Metal; Geology; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.009755329,0.0001205267,0.0001195469,0.00009410614,0.001513076,0.00007647847,0.000376455,0.00004699815,0.0005419633],"category_scores_gemma":[0.0002962858,0.00007154139,0.00003312677,0.0004290642,0.01469394,0.0004874241,0.0008108734,0.0002262014,0.00009776698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003556639,"about_ca_system_score_gemma":0.00002294431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008884103,"about_ca_topic_score_gemma":0.00008838284,"domain_scores_codex":[0.996134,0.0005869266,0.0002625742,0.000417864,0.002132845,0.0004657668],"domain_scores_gemma":[0.9993677,0.00009179465,0.0001045879,0.000306208,0.00001170241,0.0001180651],"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":[0.0001374514,0.0000799844,0.02810755,0.000005153545,0.0000145193,0.000001731916,0.00498764,0.0001251824,0.9166465,0.000316394,0.00009848454,0.0494794],"study_design_scores_gemma":[0.001067697,0.0003436643,0.9239598,0.00001463548,0.00002374534,0.00001940784,0.002036717,0.01174589,0.05938927,0.0004564648,0.0008228542,0.0001198714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972453,0.0001075404,0.0002115449,0.001328708,0.0001382372,0.0005562886,0.00001152273,0.000006700204,0.0003941165],"genre_scores_gemma":[0.9982189,0.000161946,0.001217462,0.00004815521,0.0001392658,0.00003382328,0.00000238688,0.000008227339,0.0001698101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8958522,"threshold_uncertainty_score":0.9997868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083779509325461,"score_gpt":0.3407532785272369,"score_spread":0.3099154834339822,"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."}}