{"id":"W3164032064","doi":"10.1002/jeq2.20253","title":"Evaluating mercury concentrations in edible plant and fungi species in the Canadian Arctic environment","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Nunavut Research Institute; Queen's University","funders":"","keywords":"Mercury (programming language); Dry weight; Arctic; Biology; Fauna; Botany; Environmental chemistry; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003530353,0.0005158724,0.0003242945,0.00212004,0.003299743,0.00103812,0.0006563928,0.0002089385,0.0006858481],"category_scores_gemma":[0.0003858292,0.0002169493,0.0002110528,0.002801071,0.0004783269,0.0002010831,0.0005671729,0.0002317279,0.0001148624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006800088,"about_ca_system_score_gemma":0.005420189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9586247,"about_ca_topic_score_gemma":0.9903827,"domain_scores_codex":[0.9995752,0.00001790904,0.00001483923,0.00007242613,0.0002037891,0.0001157587],"domain_scores_gemma":[0.9992486,0.00002371495,0.0001031168,0.00001350973,0.000500443,0.0001106204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001636328,0.00003710316,0.9496699,0.000112749,0.00007616386,0.000286071,0.002724273,0.0002188326,0.03101336,0.00005682419,0.0002523672,0.0153887],"study_design_scores_gemma":[0.000001293247,0.00003124565,0.9937513,0.00001606654,0.00001853581,0.00006871766,0.002627771,0.0001516728,0.001929856,0.000007509197,0.001389567,0.000006436508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966189,0.0003601513,0.0001691759,0.00001993557,0.000003430105,0.0000207388,0.001064296,0.000008232979,0.001735172],"genre_scores_gemma":[0.9960543,0.0005243378,0.000865525,0.00003594378,0.00000207163,0.00001529143,0.001010819,0.000005281471,0.001486484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04137534,"threshold_uncertainty_score":0.08323795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08727105423292804,"score_gpt":0.3321367907285292,"score_spread":0.2448657364956012,"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."}}