{"id":"W2910056657","doi":"10.1289/isee.2011.00904","title":"ASSESSING LITTLELEAF LINDEN ( <i>TILIA CORDATA</i> ) AND NORWAY MAPLE ( <i>ACER PLATANOIDES</i> ) LEAVES AS MEDIA FOR MONITORING HEAVY METAL AIR POLLUTION IN WINDSOR, ONTARIO, CANADA","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Environmental science; Air pollution; Pollution; Windsor; Air quality index; Maple; Geography; Chemistry; Meteorology; Botany; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002506363,0.0002734553,0.0002376382,0.0007475687,0.001227486,0.0008753898,0.0005715477,0.0002943675,0.0007711304],"category_scores_gemma":[0.0002606172,0.0001267975,0.0001827468,0.0005265375,0.0004957485,0.0002403194,0.0003312941,0.000178937,0.0001533147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005411628,"about_ca_system_score_gemma":0.002371998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6390349,"about_ca_topic_score_gemma":0.9087641,"domain_scores_codex":[0.9996419,0.00001785772,0.00001622216,0.0001390344,0.0001237886,0.0000611741],"domain_scores_gemma":[0.999574,0.00003842354,0.0001155708,0.00001237448,0.0001916945,0.00006785614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006171229,0.000153996,0.7655681,0.0001872908,0.00007810033,0.0003463281,0.001998343,0.0004240647,0.2156627,0.0000815005,0.0002646633,0.0146177],"study_design_scores_gemma":[0.000008067263,0.0001945932,0.9842601,0.00001712287,0.00003790475,0.0001211951,0.001579736,0.0004889843,0.01216408,0.00002288282,0.001097439,0.000007899324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984384,0.0001380375,0.000201601,0.00001076834,0.000001053412,0.00003618153,0.0002668206,0.000005649933,0.0009013714],"genre_scores_gemma":[0.996672,0.0001287657,0.001206512,0.00003795747,0.000001148757,0.00002868182,0.0005167628,0.00000541857,0.001402668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3609651,"threshold_uncertainty_score":0.7261817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08011450537376981,"score_gpt":0.2951061010085452,"score_spread":0.2149915956347754,"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."}}