{"id":"W2768491592","doi":"10.1007/s13280-017-0995-6","title":"Vulnerability of Canadian aquatic ecosystems to nuclear accidents","year":2017,"lang":"en","type":"article","venue":"AMBIO","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Aboriginal Affairs and Northern Development Canada; Government of Canada; Australian Government; Ministry of Environment; Parks Canada; Alberta Environment and Parks","keywords":"Bioaccumulation; Strontium; Environmental science; Trophic level; Radiological weapon; Ecosystem; Risk assessment; Aquatic ecosystem; Biota; Caesium; Ecology; Environmental chemistry; Risk analysis (engineering); Biology; Chemistry; Computer science; Radiochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005038118,0.0006293986,0.0002417389,0.001068724,0.001763299,0.001828082,0.0008012891,0.000571881,0.001636495],"category_scores_gemma":[0.001823983,0.0002839383,0.0006995391,0.001312308,0.0009330017,0.0006424715,0.001133368,0.0003363366,0.0001924744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02373724,"about_ca_system_score_gemma":0.01454296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.972063,"about_ca_topic_score_gemma":0.9816824,"domain_scores_codex":[0.9995586,0.00004936399,0.00001431588,0.00009942088,0.0001291247,0.0001491299],"domain_scores_gemma":[0.9993876,0.0000939667,0.0001394321,0.00004101509,0.000259438,0.00007851811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001523076,0.0000434792,0.601653,0.0002257831,0.0006986185,0.0004407974,0.0009981389,0.3321874,0.004604118,0.004918839,0.003653047,0.05042442],"study_design_scores_gemma":[0.00002272355,0.0001620125,0.7597994,0.0001052788,0.0003687466,0.0003286886,0.002977637,0.2105071,0.001908973,0.007969242,0.01567628,0.0001738331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805356,0.0006025676,0.00357801,0.0005384348,0.00001255404,0.00005149408,0.002504973,0.0001267154,0.01204958],"genre_scores_gemma":[0.996885,0.0005263911,0.0008079162,0.00004414866,0.000001632153,0.00001112654,0.0006662642,0.000008891129,0.001048568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.027937,"threshold_uncertainty_score":0.1722265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888843206434826,"score_gpt":0.2505729490067977,"score_spread":0.2316845169424495,"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."}}