{"id":"W3045042290","doi":"10.1002/etc.5378","title":"Editorial Board and Table of Contents","year":2023,"lang":"en","type":"paratext","venue":"Environmental Toxicology and Chemistry","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Editorial board; Table (database); Table of contents; Citation; Computer science; World Wide Web; Library science; Information retrieval; Database","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":["insufficient_payload"],"category_scores_codex":[0.0001247061,0.0002443655,0.0004026305,0.00001427043,0.0001088558,0.00001425371,0.0001558763,0.0005578974,0.004967652],"category_scores_gemma":[0.00001260309,0.0002415326,0.00006161579,0.00004934756,0.0007114162,0.00004727714,0.000463197,0.0003220204,0.00109576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009625051,"about_ca_system_score_gemma":0.000005203099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001370257,"about_ca_topic_score_gemma":0.000001060281,"domain_scores_codex":[0.9986956,0.00003921644,0.0002756213,0.0004795329,0.0002477145,0.0002623691],"domain_scores_gemma":[0.9994441,0.00005942614,0.0001642939,0.0002047915,0.000001078728,0.0001263423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002300109,0.00007739331,0.002516598,0.00007843826,0.00007714365,0.000003154561,0.00007247106,0.00002103838,0.4106005,1.109164e-7,0.5862772,0.0002529868],"study_design_scores_gemma":[0.0009384703,0.0001211953,0.003181139,0.00006995851,0.0001958997,0.0000101587,0.0003639718,0.00001718474,0.3662899,0.00006811423,0.6281317,0.0006123154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741513,0.0006077099,0.000002528985,0.0000871408,0.01312094,0.0001139897,0.0003682657,0.00002091488,0.01152723],"genre_scores_gemma":[0.5828595,0.002753902,0.00005508777,0.00003886359,0.01298535,0.00004310748,0.0003836364,0.00005755016,0.4008231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3912918,"threshold_uncertainty_score":0.999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010585879331833,"score_gpt":0.230500670081885,"score_spread":0.219914790750052,"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."}}