{"id":"W7109765773","doi":"10.26108/gnfc-yw83","title":"Investigation into microbial methymercury production in Kejimkujik National Park, Nova Scotia, Canada","year":2002,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Methylmercury; Biota; National park; Peat; Wetland; Population; Most probable number","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003445733,0.0001615925,0.0001510991,0.00008002338,0.0001301319,0.00002141258,0.0001479591,0.00007705569,0.002319618],"category_scores_gemma":[0.0003538299,0.0001644726,0.00002886518,0.0005349986,0.0001868616,0.0004460519,0.00007117598,0.0001987704,0.0007137258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007163467,"about_ca_system_score_gemma":0.00008123702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4360497,"about_ca_topic_score_gemma":0.7780317,"domain_scores_codex":[0.9984767,0.00008510364,0.0003117344,0.0003465375,0.0004908713,0.0002890573],"domain_scores_gemma":[0.9995511,0.00005475808,0.000103815,0.0001360436,0.0000276411,0.0001266288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001154332,0.00006088171,0.323555,0.00002525549,0.00003512166,0.000007624309,0.005615208,0.001005967,0.1017659,0.0001586699,0.5497726,0.01798626],"study_design_scores_gemma":[0.0009455804,0.000063646,0.7668383,0.0000772663,0.00003635354,0.00004137793,0.0007420576,0.0005258681,0.1093614,0.003152254,0.1172213,0.0009946063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984105,0.0001836396,0.000007922114,0.004836349,0.0006312426,0.0002498726,0.000008915329,0.00002582008,0.009951271],"genre_scores_gemma":[0.9955491,0.00004049054,0.0006410627,0.001700791,0.0001785787,0.00001387513,0.00002425503,0.00001342744,0.001838393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4432833,"threshold_uncertainty_score":0.9985924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473733420532239,"score_gpt":0.2443270276638298,"score_spread":0.2095896934585074,"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."}}