{"id":"W1990791166","doi":"10.1016/j.chemosphere.2011.11.040","title":"Atmospheric pollution in an urban environment by tree bark biomonitoring – Part I: Trace element analysis","year":2011,"lang":"en","type":"article","venue":"Chemosphere","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biomonitoring; Trace element; Pollution; Environmental chemistry; Environmental science; Atmospheric pollution; Bark (sound); TRACE (psycholinguistics); Air pollution; Chemistry; Forestry; Geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"category_scores_codex":[0.0005098202,0.00036227,0.000374285,0.000009760742,0.0001195666,0.00002619263,0.0004803435,0.0001629107,0.02184262],"category_scores_gemma":[0.00001095776,0.0003662094,0.0001581529,0.0006489149,0.0002308847,0.0004096498,0.0002171671,0.0002034377,0.0008296209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182589,"about_ca_system_score_gemma":0.000007753897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005316661,"about_ca_topic_score_gemma":0.0002145059,"domain_scores_codex":[0.9971191,0.0001444815,0.0005605351,0.0008877401,0.0006044239,0.0006837625],"domain_scores_gemma":[0.9986109,0.00001539032,0.0001610381,0.0008813297,0.000001908116,0.0003294418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005060284,0.001441643,0.9057038,0.000009014369,0.0001517122,0.0000244336,0.001717407,0.005168778,0.03111891,0.00001101577,0.003877323,0.05072537],"study_design_scores_gemma":[0.0008713534,0.0002706247,0.815434,0.00001316307,0.0003233653,0.000002235102,0.0009499735,0.005347431,0.06475083,0.00007284496,0.1110722,0.0008919392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875662,0.0004161379,0.002343402,0.00007314752,0.0001430884,0.0003755992,0.00001305535,0.00006452932,0.009004871],"genre_scores_gemma":[0.9862404,0.000133604,0.01178137,0.0001131411,0.0000613634,0.0001103566,0.00002713309,0.00004285279,0.001489726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071949,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679791814281954,"score_gpt":0.2197307664898092,"score_spread":0.2029328483469897,"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."}}