{"id":"W7100054159","doi":"","title":"J. Great Lakes Res. 29 (Supplement 2):267–282 Internat. Assoc. Great Lakes Res., 2003 Distribution and Food-web Transfer of Mercury in","year":2016,"lang":"en","type":"article","venue":"","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Mercury (programming language); Bioaccumulation; Methylmercury; Food web; Latitude; Biota; Subtropics; Food chain","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001252908,0.0007202578,0.000657517,0.001344379,0.0008259774,0.002057692,0.0009650596,0.0008768402,0.1185166],"category_scores_gemma":[0.001668901,0.0005622689,0.0005598267,0.001074266,0.0004297143,0.00143909,0.001676926,0.001171156,0.06280127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510667,"about_ca_system_score_gemma":0.003243743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06097746,"about_ca_topic_score_gemma":0.1368667,"domain_scores_codex":[0.9995734,0.0000677551,0.00006340491,0.00005927728,0.000192951,0.0000432294],"domain_scores_gemma":[0.998885,0.0000957417,0.0001037785,0.0001228825,0.0005908089,0.0002016927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001127318,0.00007790473,0.01717973,0.0002657443,0.00007125743,0.0003941653,0.0002806284,0.0001144776,0.0009650186,0.001095855,0.8349969,0.1444457],"study_design_scores_gemma":[0.00004823124,0.0000449824,0.04992525,0.0003163014,0.00008937905,0.0006493451,0.000480948,0.0008601617,0.0007858321,0.00138822,0.9453807,0.00003057201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07054169,0.1087827,0.01024921,0.1140699,0.02023357,0.0007146923,0.06657462,0.005781883,0.6030518],"genre_scores_gemma":[0.07561666,0.04442474,0.0109633,0.005950997,0.002878988,0.0005245681,0.03375233,0.001123501,0.8247649],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8814834,"threshold_uncertainty_score":0.3964777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093102157964997,"score_gpt":0.243097629515733,"score_spread":0.232166607936083,"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."}}