{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007977316,0.0002897267,0.0003591222,0.00005334222,0.0002619417,0.00009658191,0.0002906634,0.0001897292,0.0007810663],"category_scores_gemma":[0.0002786991,0.0002928931,0.00003888085,0.0001339322,0.0001922348,0.001416823,0.0001349994,0.0004303501,0.00006532573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007231444,"about_ca_system_score_gemma":0.001066841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8993207,"about_ca_topic_score_gemma":0.9634664,"domain_scores_codex":[0.9975976,0.00007610426,0.0005716309,0.0005390326,0.000461413,0.00075418],"domain_scores_gemma":[0.9986882,0.0002526612,0.0002479914,0.0003092945,0.00003118002,0.0004707332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002608044,0.001694127,0.732183,0.000876114,0.0001993329,0.0005504257,0.07602278,0.01005884,0.02440567,0.00179885,0.03112677,0.118476],"study_design_scores_gemma":[0.000644177,0.00009596669,0.977593,0.0001206357,0.00002234572,0.00001453373,0.001494122,0.00003567899,0.01017578,0.0009873727,0.00847472,0.0003416673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911768,0.00007644312,0.0001275069,0.001160285,0.0004970648,0.0004432025,0.00006100154,0.00002700129,0.00643066],"genre_scores_gemma":[0.9956675,0.00003420375,0.001966547,0.001699118,0.00009388434,0.00002931482,0.00002806639,0.00002248956,0.000458884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24541,"threshold_uncertainty_score":0.9999523,"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."}}