{"id":"W4395665101","doi":"10.2139/ssrn.4808731","title":"Aqueous Lead Speciation Determined Using the Dnazyme Gr5","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Deoxyribozyme; Lead (geology); Aqueous solution; Genetic algorithm; Chemistry; Biochemical engineering; Computational biology; Nanotechnology; Computer science; Environmental chemistry; Biology; Biochemistry; Materials science; DNA; Evolutionary biology; Engineering; Physical chemistry; Paleontology","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":[0.0002500859,0.0004494868,0.0002570415,0.0003752212,0.0002658942,0.0006306334,0.0003959136,0.0006833011,0.002497687],"category_scores_gemma":[0.000457566,0.0002061744,0.000179924,0.0004722663,0.0002627223,0.0002743691,0.0003221563,0.0004490476,0.001274348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255138,"about_ca_system_score_gemma":0.0002214445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411472,"about_ca_topic_score_gemma":0.001868178,"domain_scores_codex":[0.999668,0.00003748325,0.0000163688,0.0001200574,0.0001153533,0.00004282347],"domain_scores_gemma":[0.9998697,0.00003194166,0.00001325202,0.00001306368,0.00006004572,0.00001199869],"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":[0.00006234384,0.00001194576,0.0001747306,0.00004147402,0.000006796726,0.00002348562,0.00004565442,0.00005191486,0.9956896,0.00007884148,0.00007260192,0.003740741],"study_design_scores_gemma":[0.000004290902,0.00008037248,0.0002854829,0.000003673611,0.000007689632,0.0000218083,0.00002027166,0.0002844706,0.9981184,0.00004771681,0.001123257,0.000002505813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923077,0.002381389,0.05768034,0.0003463151,0.0001908864,0.000136386,0.001567418,0.0009341034,0.01368614],"genre_scores_gemma":[0.9448102,0.001786824,0.03264808,0.0001898323,0.00003021073,0.00005637717,0.001071253,0.0001538708,0.01925332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002497687,"threshold_uncertainty_score":0.008355558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368625264638956,"score_gpt":0.2664575320702893,"score_spread":0.2527712794238997,"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."}}