{"id":"W2135668254","doi":"10.1016/j.envpol.2013.02.018","title":"Non-destructive techniques for biomonitoring of spatial, temporal, and demographic patterns of mercury bioaccumulation and maternal transfer in turtles","year":2013,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; DuPont","keywords":"Biomonitoring; Chelydra; Bioaccumulation; Mercury (programming language); Environmental chemistry; Environmental science; Sampling (signal processing); Pollutant; Passive sampling; Wildlife; Ecology; Biology; Turtle (robot); Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008374418,0.00009551275,0.0001294145,0.00006993529,0.00004251197,0.000006327006,0.00003163006,0.00004882943,0.00006358801],"category_scores_gemma":[0.000002646681,0.00008720991,0.00002477275,0.00004225942,0.000218583,0.0002626333,0.00003571356,0.00003209861,0.00000120304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003766334,"about_ca_system_score_gemma":0.000001141592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417356,"about_ca_topic_score_gemma":0.00008711747,"domain_scores_codex":[0.9994118,0.00001749567,0.0002146832,0.0001426214,0.0001082902,0.0001051355],"domain_scores_gemma":[0.9998297,0.00001432401,0.00006353288,0.0000570814,0.000001494104,0.00003383758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009454216,0.00001879205,0.6451669,0.00001488344,0.000005349566,5.551203e-8,0.000273055,0.000003819963,0.3448262,0.000003917772,0.00000176262,0.009675743],"study_design_scores_gemma":[0.000216217,0.00008640823,0.7867983,0.00002735304,0.000009009202,0.000001440248,0.0003222033,0.0001580778,0.2120711,0.000234412,0.000009448558,0.00006607296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967247,0.00006298776,0.002611992,0.00004810704,0.00002614867,0.0004473866,0.00005459114,0.000005885735,0.00001824584],"genre_scores_gemma":[0.9991139,0.0002212196,0.0005833178,0.000008880904,0.00001292923,0.00003771352,0.000008996853,0.00000719725,0.000005879861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1416314,"threshold_uncertainty_score":0.5166042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009687397419828318,"score_gpt":0.2368478237460478,"score_spread":0.2271604263262195,"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."}}