{"id":"W4385231514","doi":"10.11159/rtese23.142","title":"Characterization and Field Application Assessment Of Prosopis Cineraria (L.) For Fluoride Sequestration: A Preliminary Investigation","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Recent Trends in Environmental Science and Engineering","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Characterization (materials science); Prosopis; Field (mathematics); Fluoride; Environmental science; Agroforestry; Botany; Biology; Materials science; Mathematics; Chemistry; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001941583,0.0003240612,0.0002461662,0.000507864,0.0002392775,0.0003302213,0.0002014733,0.0003843551,0.0006932122],"category_scores_gemma":[0.0001620925,0.0000826273,0.0003072131,0.0003182106,0.0001221657,0.0001743861,0.00014694,0.0003146761,0.0002122633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152349,"about_ca_system_score_gemma":0.0001630554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677768,"about_ca_topic_score_gemma":0.003823721,"domain_scores_codex":[0.9998739,0.0000129615,0.00000650659,0.00002963464,0.00006090791,0.00001599491],"domain_scores_gemma":[0.9998577,0.00002295544,0.0000201681,0.000008797063,0.00007378148,0.0000166912],"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":[0.00003445466,0.00003800349,0.0005167119,0.00009829119,0.000003164441,0.00006921811,0.00002766445,0.00008562626,0.9959638,0.00001327492,0.00003062819,0.003119081],"study_design_scores_gemma":[0.000007587672,0.001327283,0.0144796,0.00003052191,0.00004124239,0.0002929929,0.0002465432,0.0007850307,0.9791058,0.00003420089,0.003635387,0.00001382728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943598,0.001286781,0.001821334,0.00006936792,0.00000950293,0.00008036742,0.0005934408,0.00003235388,0.001747071],"genre_scores_gemma":[0.9926561,0.001028254,0.003538558,0.00005222595,0.000005542971,0.00004890823,0.0003852452,0.00001373984,0.002271388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001677768,"threshold_uncertainty_score":0.003335953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303605440104381,"score_gpt":0.2747155696555619,"score_spread":0.2443550256451238,"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."}}