{"id":"W191669756","doi":"10.1023/a:1025517007605","title":"Metal Contamination in Zebra Mussels (Dreissena Polymorpha) Along the st. Lawrence River","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"GDG Environnement; McGill University","funders":"National Research Council Canada","keywords":"Dreissena; Bioaccumulation; Zebra mussel; Environmental science; Contamination; Environmental chemistry; Ecotoxicology; Bivalvia; Seasonality; Pollution; Bioconcentration; Mussel; Ecology; Mollusca; Biology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134084,0.0002047647,0.0002003318,0.0006432342,0.0009093037,0.0005978967,0.0002790685,0.0005635222,0.000432683],"category_scores_gemma":[0.0002814466,0.0003509956,0.0001553434,0.0005198618,0.0004341504,0.0002152076,0.0004247655,0.0002328635,0.0001468732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454095,"about_ca_system_score_gemma":0.000863498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2782714,"about_ca_topic_score_gemma":0.5051366,"domain_scores_codex":[0.9998087,0.00002797476,0.00001293796,0.00005505283,0.00005389459,0.00004145812],"domain_scores_gemma":[0.9996698,0.00002198262,0.0001007722,0.00001162821,0.0001560694,0.00003970651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005384004,0.00006794581,0.9433443,0.00005294245,0.00009441649,0.0002637247,0.001893736,0.0006888551,0.04845704,0.00007745334,0.0002675171,0.004253705],"study_design_scores_gemma":[0.000004795787,0.0001194908,0.9951486,0.000007125498,0.00002689945,0.0001001867,0.0006678613,0.0003291347,0.002932739,0.00002229596,0.0006349463,0.000005864842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995833,0.00002550713,0.00005343239,0.00001370401,7.705425e-7,0.000001406891,0.00009858218,0.000003939795,0.0002193878],"genre_scores_gemma":[0.9982209,0.00004779477,0.0001424283,0.00001817437,5.959857e-7,0.000004118825,0.0001664435,0.000002425758,0.001397133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7217286,"threshold_uncertainty_score":0.5533033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318542148762268,"score_gpt":0.2586813827390232,"score_spread":0.2454959612514005,"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."}}