{"id":"W11117344","doi":"10.2473/shigentosozai.117.226","title":"Liquid-Liquid Extraction of Iron (III) from Hydrochloric Acid Solutions by .ALPHA.-Hydroxyoxime.","year":2001,"lang":"en","type":"article","venue":"Shigen-to-Sozai","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hydrochloric acid; Chemistry; Extraction (chemistry); Aqueous solution; Kerosene; Monomer; Oxime; Inorganic chemistry; Nuclear chemistry; Chromatography; Organic chemistry; Polymer","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002323469,0.0003350709,0.0003460009,0.0004255621,0.0001566298,0.00003847564,0.0003579927,0.000332777,0.00113696],"category_scores_gemma":[0.00009408096,0.0004028125,0.0001378308,0.0007754562,0.00003385176,0.0005118123,0.00008336605,0.000390986,0.0005958988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571904,"about_ca_system_score_gemma":0.00003964724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006063126,"about_ca_topic_score_gemma":0.0002157611,"domain_scores_codex":[0.9979258,0.00004361685,0.0006048315,0.0004377314,0.0004568935,0.0005311061],"domain_scores_gemma":[0.9988028,0.0001111164,0.0001052493,0.0005906481,0.0001275546,0.0002626331],"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":[0.0001702476,0.0001191964,0.00004634865,0.000020531,0.00005704043,0.000006115013,0.00041998,0.005226113,0.9593311,0.0001959133,0.03131125,0.003096167],"study_design_scores_gemma":[0.0003868667,0.000467323,0.0006335538,0.00006405963,0.00005029709,0.00001276752,0.00007402645,0.002020368,0.8836309,0.0004408237,0.1116325,0.0005864919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.70655,0.0006915,0.281321,0.0007579357,0.001082323,0.0005929225,0.0001183975,0.001440923,0.007444977],"genre_scores_gemma":[0.9948522,0.0004267151,0.002961181,0.0002850862,0.0003699423,0.0001851616,0.0001391023,0.00009564848,0.0006849224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2883022,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131033747171288,"score_gpt":0.2400653978550894,"score_spread":0.2287550603833765,"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."}}