{"id":"W2160952724","doi":"10.1016/s0025-326x(03)00045-6","title":"Selection of bioindicators for monitoring marine environmental quality in the Bay of Fundy, Atlantic Canada","year":2003,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"Fisheries and Oceans Canada","keywords":"Bay; Bioindicator; Environmental science; Marine ecosystem; Mytilus; Homarus; Fishery; Mussel; Oceanography; American lobster; Environmental chemistry; Environmental monitoring; Ecosystem; Ecology; Biology; Crustacean; Geology; Environmental engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001191681,0.0001459372,0.000209763,0.00004286483,0.00007656623,0.000004341969,0.0001970717,0.00005753136,0.004076767],"category_scores_gemma":[0.0001345162,0.0001237799,0.00006335725,0.0001750237,0.000162471,0.00002722349,0.0001401398,0.0001180482,0.00002120721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645361,"about_ca_system_score_gemma":0.00002735274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1170734,"about_ca_topic_score_gemma":0.05814638,"domain_scores_codex":[0.9981904,0.0002891425,0.0005110286,0.0002556361,0.0004754986,0.0002782774],"domain_scores_gemma":[0.9993387,0.000128981,0.0002248609,0.0002521375,0.00000189295,0.00005344043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002864231,0.0001744753,0.9937647,0.00001979626,0.00001052093,7.808063e-7,0.00005591415,0.0004850402,0.003327808,0.0001697314,0.0003466017,0.00161597],"study_design_scores_gemma":[0.0004182432,0.000064721,0.9371009,0.000005000207,0.00001536742,0.000006145518,0.0001514117,0.00003901064,0.01631313,0.00008747132,0.0456791,0.0001194942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996199,0.00001047782,0.0002258235,0.0005501094,0.0001202279,0.0004240668,0.0000164641,0.000005725564,0.002448148],"genre_scores_gemma":[0.9972462,0.0000260197,0.00226921,0.00007233701,0.00002226118,0.0000474164,0.00001209074,0.00001263588,0.0002918503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05892706,"threshold_uncertainty_score":0.9968336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103853735867191,"score_gpt":0.2302307706824667,"score_spread":0.2191922333237948,"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."}}