{"id":"W4322491897","doi":"10.1002/csan.20951","title":"Research Update: Mercury Contamination","year":2023,"lang":"en","type":"article","venue":"CSA News","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Mercury (programming language); Computer science; World Wide Web; Library science; Information retrieval; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003441633,0.00006825297,0.00008822142,0.00009270137,0.00007250127,0.00001822161,0.000176419,0.00007169051,0.0003672035],"category_scores_gemma":[0.0001258375,0.00006094377,0.00004183349,0.0006240628,0.00003313654,0.00006224323,0.0001604643,0.0002468266,0.003391607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007503265,"about_ca_system_score_gemma":0.000006853727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000731445,"about_ca_topic_score_gemma":0.00001715999,"domain_scores_codex":[0.9990733,0.0000235982,0.0001379802,0.000186378,0.0002775359,0.0003012518],"domain_scores_gemma":[0.9995362,0.0001293786,0.00001386861,0.0002055984,0.00004188072,0.00007306144],"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":[0.00005836942,0.000105192,0.0004401302,0.0002129152,0.00007272495,0.00007028806,0.0004993779,0.001593316,0.2490942,0.07643239,0.4875169,0.1839043],"study_design_scores_gemma":[0.0003941474,0.00001365928,0.001668873,0.00003073232,0.000008281248,7.735143e-7,0.0003324392,0.01461331,0.05429998,0.002358309,0.9261122,0.0001672664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7780908,0.0007081354,0.007923085,0.0273526,0.001231966,0.0009531463,0.00002830374,0.002600935,0.181111],"genre_scores_gemma":[0.986739,0.0003435603,0.0001043062,0.0001270733,0.0002716147,0.00003847093,0.00009764894,0.00002251689,0.0122558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4385954,"threshold_uncertainty_score":0.9973844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200814118604723,"score_gpt":0.3274606996663315,"score_spread":0.2854525584802843,"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."}}