{"id":"W2590153399","doi":"10.2298/jsc170113024p","title":"Possibilities of assessing trace metal pollution using Betula pendula Roth. leaf and bark - experience in Serbia","year":2017,"lang":"en","type":"article","venue":"Journal of the Serbian Chemical Society","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Betula pendula; Trace element; Bark (sound); Environmental chemistry; Pollution; Chemistry; Trace metal; Botany; Environmental science; Metal; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009644374,0.0001430083,0.0002982509,0.000009677418,0.0002513543,0.00007520373,0.000598762,0.0001220763,0.0001275463],"category_scores_gemma":[0.0002336501,0.0001035254,0.0002652003,0.00007117639,0.001023038,0.0008150848,0.0004453883,0.0003748337,8.05857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367495,"about_ca_system_score_gemma":0.00002667492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002933079,"about_ca_topic_score_gemma":0.00001080563,"domain_scores_codex":[0.9984037,0.000101095,0.0005048171,0.0001957305,0.0005448037,0.000249872],"domain_scores_gemma":[0.9988148,0.00005183233,0.0006275276,0.0003892843,0.000008738565,0.0001077887],"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":[0.00001206822,0.00007662125,0.04539779,0.0000188096,0.00001710138,0.000002347856,0.003217819,0.0005571222,0.9496021,0.000004200947,0.0000348264,0.001059251],"study_design_scores_gemma":[0.0006082971,0.00003144821,0.5582005,0.0001811315,0.00005237595,0.00009898308,0.003264971,0.00275152,0.4337973,0.00061197,0.0002062361,0.0001952724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989381,0.0001398272,0.0001052637,0.000394142,0.0001332199,0.00009681701,0.000003219647,0.000002493744,0.0001868719],"genre_scores_gemma":[0.9910014,0.00003273549,0.008756676,0.0000801518,0.00006082215,9.026215e-7,1.208908e-7,0.00001153311,0.00005571715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5158047,"threshold_uncertainty_score":0.4221645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943016385791676,"score_gpt":0.3113397835929533,"score_spread":0.2719096197350366,"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."}}