{"id":"W4400935002","doi":"10.1039/d4su00170b","title":"<i>Aloe vera</i> mucilage as a sustainable biopolymer flocculant for efficient arsenate anion removal from water","year":2024,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada; University of Saskatchewan","keywords":"Aloe vera; Biopolymer; Flocculation; Mucilage; Arsenate; Chemistry; Pulp and paper industry; Botany; Biology; Organic chemistry; Engineering; Polymer; Arsenic","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007634548,0.0002605444,0.0002543287,0.00007542357,0.0004456887,0.0001668322,0.0001687248,0.0001087641,0.001875645],"category_scores_gemma":[0.0002275007,0.0001939751,0.0002137321,0.0003478205,0.0002589896,0.0002199943,0.0003990255,0.0001307579,0.0003671254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117838,"about_ca_system_score_gemma":0.00006967928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790352,"about_ca_topic_score_gemma":0.00004671877,"domain_scores_codex":[0.9976033,0.00009765394,0.0003815398,0.0008022541,0.0004236254,0.0006916067],"domain_scores_gemma":[0.9990669,0.0001690256,0.00003622406,0.000479267,0.0001098537,0.0001386713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005569662,0.004849793,0.1110965,0.005310182,0.00134315,0.004686937,0.1200708,0.2120185,0.1137896,0.1150505,0.1297541,0.1764603],"study_design_scores_gemma":[0.001154296,0.0001417992,0.01967175,0.00002597303,0.00011242,0.00002308397,0.008190299,0.08020324,0.01854964,0.04476757,0.8263495,0.0008104552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826021,0.000378479,0.007869836,0.002972543,0.0003771287,0.00129759,0.00003905544,0.0002851871,0.004178139],"genre_scores_gemma":[0.9892083,0.000005816079,0.0002145353,0.0002477324,0.0001113476,0.0001187952,0.00007450322,0.00002812577,0.009990809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6965954,"threshold_uncertainty_score":0.9990368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007584232166468785,"score_gpt":0.2549422100462427,"score_spread":0.247357977879774,"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."}}