{"id":"W2795143389","doi":"","title":"MERCURY EXPORT FROM SMALL FORESTED WATERSHEDS IN WESTCENTRAL NOVA SCOTIA, CANADA: DEVELOPMENT OF AN ECOLOGICAL MODEL","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Mercury (programming language); Environmental science; Geography; Ecology; Forestry; Environmental protection; Environmental resource management; Fishery; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001635519,0.0005991685,0.0002961332,0.0004199726,0.001093708,0.001551801,0.001409482,0.0007978106,0.001543364],"category_scores_gemma":[0.0004381707,0.0003782735,0.0004890847,0.0005187737,0.0006164449,0.0003980062,0.0005082982,0.0004667053,0.0001843826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0187596,"about_ca_system_score_gemma":0.01727717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764863,"about_ca_topic_score_gemma":0.953491,"domain_scores_codex":[0.9999105,0.000009080107,0.000004614362,0.00002674627,0.00001729133,0.000031771],"domain_scores_gemma":[0.9997883,0.0000364098,0.00002134689,0.000005678199,0.0001120466,0.00003627252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003182883,0.00002907483,0.01650089,0.00002652167,0.00001815958,0.0001466948,0.00007033213,0.9771042,0.0007730027,0.00213674,0.0008945477,0.002267988],"study_design_scores_gemma":[0.00001589046,0.000007480412,0.004726485,0.000008015849,0.0000126598,0.00001339605,0.00007548797,0.9940459,0.0001256697,0.0002641869,0.0006940676,0.00001066056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456459,0.0003486813,0.01768696,0.000950991,0.0000423692,0.0001207763,0.005139842,0.000346837,0.02971766],"genre_scores_gemma":[0.9836775,0.0002588972,0.003761746,0.0000641258,0.000007116716,0.00006792232,0.001151471,0.00003554274,0.01097564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02351373,"threshold_uncertainty_score":0.136111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374061879387269,"score_gpt":0.1375059268629804,"score_spread":0.1237653080691077,"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."}}