{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467613,0.0003573562,0.0002080616,0.0004658017,0.0004033781,0.0003972464,0.0001938275,0.0002555575,0.0009307558],"category_scores_gemma":[0.000125724,0.0001524364,0.0002113672,0.0005947687,0.0001460141,0.0001899263,0.0002215908,0.0001481673,0.0002703353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383864,"about_ca_system_score_gemma":0.0001955218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005867811,"about_ca_topic_score_gemma":0.01022962,"domain_scores_codex":[0.9999107,0.00002195988,0.000006547534,0.00002173327,0.00002813457,0.00001089841],"domain_scores_gemma":[0.9999719,0.000006660749,0.000005408183,0.000004136186,0.000009038433,0.000002936564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003830257,0.0001459063,0.04697535,0.0001730736,0.00008058657,0.00009194766,0.000199202,0.001362399,0.9134287,0.0001678055,0.0003423516,0.03664977],"study_design_scores_gemma":[0.00002077251,0.000650299,0.282665,0.00001613727,0.0001984853,0.0004920746,0.0004673322,0.00419005,0.704725,0.0003777634,0.006175599,0.00002148523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895269,0.002109322,0.005800293,0.00004792876,0.00001374537,0.00002790582,0.0004015759,0.00003846999,0.002033764],"genre_scores_gemma":[0.9888276,0.002027851,0.004305429,0.00003202153,0.0000146123,0.00002745916,0.000569922,0.00002625449,0.004168931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005867811,"threshold_uncertainty_score":0.01166731,"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."}}