{"id":"W2315106245","doi":"10.2172/1116552","title":"Preparation of High Purity, High Molecular-Weight Chitin from Ionic Liquids for Use as an Adsorbate for the Extraction of Uranium from Seawater","year":2013,"lang":"en","type":"report","venue":"","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Uranium; Chitin; Seawater; Extraction (chemistry); Nanofiber; Ionic liquid; Raw material; Chemical engineering; Chemistry; Environmental science; Pulp and paper industry; Waste management; Nanotechnology; Materials science; Chromatography; Metallurgy; Organic chemistry; Geology; Chitosan; Engineering; Catalysis; Oceanography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002388685,0.0003502358,0.000734026,0.0001585409,0.0003312223,0.0001778918,0.000475216,0.0008657837,0.001204545],"category_scores_gemma":[0.001384343,0.0002666193,0.0004629368,0.0002008272,0.00036245,0.00062315,0.00007780857,0.0003045671,0.00001111559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293499,"about_ca_system_score_gemma":0.00096328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3737639,"about_ca_topic_score_gemma":0.01805751,"domain_scores_codex":[0.9960373,0.0006405663,0.001040288,0.0007239137,0.001174149,0.0003837955],"domain_scores_gemma":[0.9941759,0.002055368,0.001207232,0.0008060847,0.001640455,0.0001149349],"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":[0.01093886,0.002920433,0.001708723,0.001893933,0.009322925,0.00002108769,0.03026782,0.003039021,0.3835522,0.1737731,0.1027594,0.2798025],"study_design_scores_gemma":[0.001890489,0.001533869,0.008176936,0.0003576,0.001763599,0.000006937023,0.00106343,0.003373889,0.6833547,0.1231833,0.1739486,0.001346673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8349631,0.0002224644,0.1492931,0.0007713601,0.006008626,0.00450817,0.0006695469,0.0001694234,0.003394181],"genre_scores_gemma":[0.8882083,0.0006478504,0.09800352,0.00008024838,0.00194422,0.0008504282,0.0009871945,0.0001075586,0.009170645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3557063,"threshold_uncertainty_score":0.9999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210074616634069,"score_gpt":0.4002031658580965,"score_spread":0.3481024196917558,"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."}}