{"id":"W1989924895","doi":"10.1007/s10646-014-1207-9","title":"Differential trends in mercury concentrations in double-crested cormorant populations of the Canadian Prairies","year":2014,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"Ministry of Environment - Saskatchewan; University of Regina","keywords":"Methylmercury; Cormorant; Ecoregion; Mercury (programming language); Selenium; MERCURE; Bioaccumulation; Biology; Ecology; Predation; Animal science; Environmental chemistry; 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":[0.0001007095,0.00007441793,0.0001503787,0.0001003559,0.0001312937,0.000008098422,0.0001229872,0.00006817791,0.001473119],"category_scores_gemma":[0.00004940494,0.00005749978,0.00002975526,0.0003661175,0.0002939742,0.00007381929,0.00004669903,0.0001027988,0.0000217871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682521,"about_ca_system_score_gemma":0.00003549682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08176389,"about_ca_topic_score_gemma":0.9775939,"domain_scores_codex":[0.9992187,0.0001077381,0.0002374438,0.0001202727,0.00009247781,0.0002233479],"domain_scores_gemma":[0.99968,0.00004082399,0.00007169982,0.0001381973,0.000005676261,0.00006359127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009223136,0.0000396639,0.987218,0.000001231972,0.000003079059,5.147014e-7,0.0009375252,0.0004380691,0.003216673,0.006257468,0.001058092,0.0008204299],"study_design_scores_gemma":[0.0005573995,0.00003232454,0.995328,0.000004242956,0.000005319071,0.000001669024,0.00005415302,0.0004745756,0.001226656,0.0003815047,0.001872452,0.00006170797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847959,0.000005482789,0.00001344979,0.002894935,0.0002542898,0.0001623258,0.0000115738,0.000005578912,0.01185643],"genre_scores_gemma":[0.9992959,0.000001603675,0.00003337925,0.000179383,0.00001336608,0.00002920178,0.00001343889,0.00000394737,0.0004297646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.89583,"threshold_uncertainty_score":0.9994397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549166763211881,"score_gpt":0.2882487957067627,"score_spread":0.2527571280746438,"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."}}