{"id":"W2774659704","doi":"10.1080/23311843.2017.1412153","title":"Assessment of pollution levels, potential ecological risk and human health risk of heavy metals/metalloids in dust around fuel filling stations from the Kumasi Metropolis, Ghana","year":2017,"lang":"en","type":"article","venue":"Sustainable Environment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Royal Roads University","keywords":"Metalloid; Pollution; Environmental chemistry; Hazard quotient; Ingestion; Environmental science; Heavy metals; Chemistry; Metallurgy; Metal; Materials science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00330042,0.0003647645,0.0006788091,0.00009309928,0.001268759,0.00007911591,0.0006772457,0.0001577548,0.001518592],"category_scores_gemma":[0.0002474693,0.0002905475,0.0001702457,0.0001061957,0.00162022,0.000447151,0.001149288,0.000529413,0.00001687117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832625,"about_ca_system_score_gemma":0.00006182862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03824953,"about_ca_topic_score_gemma":0.001232297,"domain_scores_codex":[0.9954978,0.001036052,0.001014916,0.0007497547,0.0009200203,0.0007814735],"domain_scores_gemma":[0.9969652,0.0002121435,0.001342741,0.001258171,0.000007819217,0.0002139124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005813847,0.001936936,0.8242297,0.0001009166,0.0003281532,0.00003693823,0.00138722,0.1592904,0.003567076,0.003703652,0.0001599001,0.005200914],"study_design_scores_gemma":[0.000954024,0.000381816,0.9822756,0.00001550943,0.0001634993,0.000001568867,0.00617372,0.002209779,0.0005113589,0.004934531,0.002117127,0.0002614837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863359,0.0006167837,0.01017476,0.0007020636,0.00008074173,0.001088869,0.0003005842,0.00001243107,0.0006878903],"genre_scores_gemma":[0.9906542,0.001662134,0.006947367,0.00007117055,0.00004546332,0.0000821629,0.00003570437,0.00003275615,0.0004690359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1580459,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794518054751457,"score_gpt":0.288352704494018,"score_spread":0.2704075239465034,"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."}}