{"id":"W2962713749","doi":"10.1016/j.chemosphere.2019.124429","title":"Evaluation of the effectiveness of different indicator PCBs to estimating total PCB concentrations in environmental investigations","year":2019,"lang":"en","type":"article","venue":"Chemosphere","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Congener; Environmental chemistry; Pollutant; Environmental science; Toxic equivalency factor; Persistent organic pollutant; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007233707,0.0001016476,0.000151875,0.000007802052,0.00003294012,0.0000054263,0.0001923234,0.00005008966,0.00287434],"category_scores_gemma":[0.0002907603,0.00007794447,0.0000400645,0.0002088432,0.0001531075,0.0001038806,0.0001380078,0.0000887793,0.00009067383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622402,"about_ca_system_score_gemma":0.00005468699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003658238,"about_ca_topic_score_gemma":0.00003361575,"domain_scores_codex":[0.9985645,0.0002493734,0.0002385287,0.0001919052,0.000604849,0.0001508904],"domain_scores_gemma":[0.999366,0.0001267813,0.0001307414,0.0003073802,0.000001861648,0.00006719206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006607208,0.00008655123,0.5100335,0.000008642746,0.000008336918,4.809966e-8,0.0004695227,0.006118336,0.4777653,0.00001403528,0.00000751262,0.005481691],"study_design_scores_gemma":[0.0003976773,0.00002590539,0.7145639,0.00005043369,0.00002071978,0.000001093449,0.0001127271,0.007783626,0.2766939,0.0002902446,0.000001446788,0.00005826436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974907,0.00001331426,0.00007648249,0.00004887962,0.0001204509,0.0008325355,0.00003928845,0.000006382197,0.001371946],"genre_scores_gemma":[0.9993162,2.742707e-7,0.0006003938,0.00002016236,0.000006715634,0.00001744629,0.000001753792,0.00001004792,0.00002699373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2045305,"threshold_uncertainty_score":0.9980372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009951221787716681,"score_gpt":0.2382584401185411,"score_spread":0.2283072183308244,"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."}}