{"id":"W7036014465","doi":"","title":"ABIOTIC CONDITIONS, ALGAL BIOMASS & FISH GROWTH RATES AFFECT FISH MERCURY CONCENTRATIONS IN TWO SUBARCTIC LAKES","year":2020,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methylmercury; Mercury (programming language); Bioaccumulation; Food web; Abiotic component; Aquatic ecosystem; Fishing; Swordfish; Plankton; Ecosystem","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":[],"consensus_categories":[],"category_scores_codex":[0.0001433927,0.0002263908,0.000136276,0.0003894891,0.0006118217,0.0005403502,0.000178739,0.0002043122,0.001171172],"category_scores_gemma":[0.0003836009,0.0002367551,0.0002764856,0.0004172682,0.0004661072,0.000235595,0.0005989162,0.0002241764,0.0001502307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006820718,"about_ca_system_score_gemma":0.0004146385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07962076,"about_ca_topic_score_gemma":0.1798618,"domain_scores_codex":[0.9999243,0.0000131079,0.000005222999,0.00002516321,0.00001213172,0.000020051],"domain_scores_gemma":[0.999689,0.00004866002,0.0001319083,0.00001422167,0.00004279277,0.00007339298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001105097,0.00002188626,0.9934632,0.000009831889,0.00005256318,0.00007852811,0.0004895187,0.0001062944,0.004855499,0.00002070806,0.00006388175,0.0007277576],"study_design_scores_gemma":[9.039584e-7,0.000008071775,0.9995971,5.146136e-7,0.000007179362,0.000008099519,0.0002241447,0.00005655878,0.00007071823,0.000002670067,0.0000232834,8.005618e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997711,0.00001492317,0.0000113901,0.00000779683,4.385284e-7,8.506707e-7,0.00004907577,0.000001426993,0.0001430068],"genre_scores_gemma":[0.9996488,0.00001598425,0.00002864273,0.000007786975,7.225877e-7,0.000002807206,0.00007169379,0.000001241698,0.0002223777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07962076,"threshold_uncertainty_score":0.1583146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136061167078025,"score_gpt":0.2336289368471729,"score_spread":0.2022683251763926,"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."}}