{"id":"W2026504240","doi":"10.1007/s10646-012-0967-3","title":"Toxicity of methylmercury injected into eggs of thick-billed murres and arctic terns","year":2012,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"Aboriginal Affairs and Northern Development Canada; U.S. Geological Survey; U.S. Fish and Wildlife Service","keywords":"Methylmercury; Ecotoxicology; Arctic; The arctic; Seabird; Fishery; Environmental science; Biology; Ecology; Oceanography; Zoology; Predation; Geology; Bioaccumulation","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":[0.0001623078,0.000338171,0.0002252136,0.0002848776,0.0002035401,0.0003118472,0.0002182144,0.000447363,0.001499963],"category_scores_gemma":[0.0003035601,0.0002364422,0.000238316,0.0001104735,0.000366895,0.0002482976,0.0002324325,0.0003780748,0.000202544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003771795,"about_ca_system_score_gemma":0.0002931433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005844162,"about_ca_topic_score_gemma":0.00787929,"domain_scores_codex":[0.9998666,0.00002922642,0.00001417504,0.0000312058,0.00002522339,0.00003348079],"domain_scores_gemma":[0.9997317,0.00009086786,0.00005553561,0.00002325105,0.00005014899,0.00004845588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00291078,0.000079581,0.00514663,0.00003905057,0.000027703,0.0001915633,0.0001747293,0.0001433372,0.9897466,0.00008776959,0.00003368759,0.001418622],"study_design_scores_gemma":[0.0000815766,0.007605008,0.05691505,0.00001371277,0.00008911171,0.0003024358,0.0004808789,0.001067918,0.9324537,0.00005955966,0.0009160771,0.00001487372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994445,0.00007696733,0.00007788002,0.00001337914,0.000009710592,0.000006242501,0.00003518026,0.000005045737,0.0003310009],"genre_scores_gemma":[0.9961072,0.0001566156,0.0003327295,0.00003643811,0.00000612229,0.00001072925,0.0001370338,0.000006794585,0.0032064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005844162,"threshold_uncertainty_score":0.01162034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731684196090463,"score_gpt":0.296924815307709,"score_spread":0.2796079733468044,"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."}}