{"id":"W4319918262","doi":"10.1007/978-3-031-22761-5_18","title":"Removal of Selenium from Chloride Media Using Bioadsorbent","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Selenium; Adsorption; Freundlich equation; Chemistry; Lignin; Chloride; Wastewater; Environmental chemistry; Pulp and paper industry; Organic chemistry; Environmental science; Environmental engineering; Engineering","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":[0.001538549,0.001241045,0.002841417,0.0002709147,0.0002537701,0.0002711418,0.001143239,0.001188705,0.001904055],"category_scores_gemma":[0.0002474973,0.0008524738,0.0005664634,0.0001641743,0.0007845699,0.00027192,0.0005412028,0.0004249662,0.0006021979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892396,"about_ca_system_score_gemma":0.00006838124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385893,"about_ca_topic_score_gemma":0.0004708632,"domain_scores_codex":[0.9940197,0.0005016517,0.00244216,0.001155531,0.00102464,0.0008563198],"domain_scores_gemma":[0.9952056,0.0008461016,0.001982806,0.001468729,0.0003218587,0.0001748386],"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":[0.001025642,0.00002405795,0.000004667477,0.0002519836,0.0004750204,0.0000543481,0.0003465508,0.00001693715,0.9912151,0.005094226,0.001407427,0.00008410861],"study_design_scores_gemma":[0.0005915501,0.0002233192,0.0001325668,0.0009507462,0.00117126,0.0003363826,0.0001968854,0.00001242651,0.820811,0.03056484,0.1435622,0.001446828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337373,0.004079726,0.00001624907,0.0007035672,0.0375383,0.002132397,0.005307713,0.0009838577,0.01550093],"genre_scores_gemma":[0.80056,0.0008063478,0.001880031,0.0004053733,0.01185615,0.0001233281,0.002156832,0.0008429008,0.181369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1704041,"threshold_uncertainty_score":0.9993926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05718165579193078,"score_gpt":0.2608977142495548,"score_spread":0.203716058457624,"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."}}