{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001817888,0.000274792,0.0003212399,0.0003193983,0.0002342384,0.00004278463,0.0001684239,0.0001790544,0.000475955],"category_scores_gemma":[0.0001184194,0.000299495,0.00007596509,0.001001393,0.00002718934,0.0004862764,0.00005119469,0.0002512803,0.0002284814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022141,"about_ca_system_score_gemma":0.00004211519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571481,"about_ca_topic_score_gemma":0.0001575464,"domain_scores_codex":[0.9984258,0.00002522515,0.0005191608,0.0003548949,0.0002940396,0.0003808216],"domain_scores_gemma":[0.9991158,0.00008123981,0.00008918733,0.0002907129,0.0001252793,0.0002978234],"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":[0.0002885454,0.000129804,0.00007387438,0.00003156221,0.00007155177,0.000005073528,0.0005556997,0.003616077,0.9758086,0.0001143255,0.01724817,0.002056781],"study_design_scores_gemma":[0.0009331251,0.0005439187,0.002674106,0.00006915678,0.000118024,0.00003937791,0.0002983415,0.001943176,0.6242266,0.0003308892,0.3680097,0.0008135315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530232,0.004390447,0.03811596,0.0006295921,0.0004435021,0.0003055161,0.00008500844,0.0003737401,0.002633011],"genre_scores_gemma":[0.994867,0.002265971,0.0005287051,0.0002901047,0.000159771,0.0000681025,0.00008303181,0.00005254462,0.001684747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3515819,"threshold_uncertainty_score":0.9999457,"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."}}