{"id":"W2080508272","doi":"10.1007/s10661-007-9860-6","title":"The use of leeches and logit log-linear contingency models to assess and monitor aquatic PCB contamination originating from mid-Canada radar line site 050","year":2007,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de Santé Publique du Québec; McMaster University; University of Waterloo","funders":"Ministère de la Défense Nationale; University of Waterloo","keywords":"Environmental remediation; Environmental science; Contamination; Bioindicator; Aquatic ecosystem; Environmental engineering; Hydrology (agriculture); Environmental protection; Environmental chemistry; Ecology; Biology; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003028723,0.0003796762,0.0002720882,0.0006670926,0.0003785821,0.0006118862,0.0005111663,0.000218688,0.0009590084],"category_scores_gemma":[0.006105236,0.0002579887,0.0003791121,0.0005877631,0.0003354939,0.0005146487,0.0003125917,0.0003405913,0.0001124931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116839,"about_ca_system_score_gemma":0.002126892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2222385,"about_ca_topic_score_gemma":0.5058985,"domain_scores_codex":[0.9991411,0.0005812648,0.00002779082,0.0001239705,0.00007773047,0.00004806721],"domain_scores_gemma":[0.994436,0.004285334,0.0005116235,0.0002195135,0.0004376244,0.0001098003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002126857,0.0003296303,0.7455826,0.00007350936,0.0006560203,0.0002181253,0.0004061972,0.1749803,0.004695688,0.002698774,0.0008918382,0.06734052],"study_design_scores_gemma":[0.00006526822,0.0007559219,0.2065369,0.00001473118,0.0001591906,0.0001536858,0.0003388631,0.7882483,0.001723795,0.001307479,0.0006514046,0.00004445807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986545,0.00007089963,0.01223273,0.00003420526,0.000004146076,0.00003751816,0.0002276246,0.00007381744,0.0007740814],"genre_scores_gemma":[0.9871455,0.00003858302,0.01173117,0.00001574626,0.000001087317,0.00002977473,0.0001978404,0.0000118139,0.0008284088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7777615,"threshold_uncertainty_score":0.4418899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224928197571337,"score_gpt":0.2774522563960802,"score_spread":0.2352029744203669,"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."}}