{"id":"W621553885","doi":"10.2473/shigentosozai.117.880","title":"Liquid-Liquid Extraction of Mercury (II) from Hydrochloric and Nitric Acid Solutions by Trioctyl Phosphine Oxide.","year":2001,"lang":"en","type":"article","venue":"Shigen-to-Sozai","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hydrochloric acid; Chemistry; Nitric acid; Mercury (programming language); Phosphine oxide; Benzene; Aqueous solution; Extraction (chemistry); Inorganic chemistry; Nuclear chemistry; Phosphine; Chromatography; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002576144,0.0003378668,0.0002498659,0.0001765922,0.000250088,0.0002162383,0.0003072057,0.0004118864,0.001014241],"category_scores_gemma":[0.0002976717,0.0001841192,0.0002444709,0.0002032839,0.0002047172,0.0003039064,0.0003741092,0.0003996106,0.0009707877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765528,"about_ca_system_score_gemma":0.0003056489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009122025,"about_ca_topic_score_gemma":0.002211035,"domain_scores_codex":[0.9997328,0.00006061176,0.00001843023,0.00006662818,0.0000850777,0.00003639896],"domain_scores_gemma":[0.9998935,0.00003829984,0.00002609019,0.000006796357,0.00002035918,0.00001483965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004480965,0.000006506302,0.0001086485,0.00008540046,0.000007547393,0.00003189655,0.0000120253,0.00004165545,0.9970797,0.00003430679,0.00004831116,0.002499232],"study_design_scores_gemma":[0.000006183506,0.00009234856,0.001425912,0.000006069419,0.00001479946,0.0001365546,0.00001922811,0.0005662835,0.9954523,0.00002309923,0.002251903,0.000005230835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621,0.01546893,0.110841,0.0004657793,0.0001668759,0.0002669898,0.001099643,0.0006587414,0.008932027],"genre_scores_gemma":[0.9225359,0.00456202,0.06373796,0.0002935841,0.00003997588,0.0001650129,0.001388293,0.00008994746,0.007187285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001014241,"threshold_uncertainty_score":0.003392935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388962030761946,"score_gpt":0.2466105661245817,"score_spread":0.2327209458169623,"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."}}