{"id":"W4295868309","doi":"10.14447/jnmes.v25i3.a08","title":"Carboxymethyl Tamarind Kernel Gum /ZnO- Biocomposite: As an Antifungal and Hazardous Metal Removal Agent","year":2022,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Delhi Technological University","keywords":"Nanocomposite; Materials science; Fourier transform infrared spectroscopy; Biocomposite; Nuclear chemistry; Transmission electron microscopy; Scanning electron microscope; Adsorption; Biopolymer; High-resolution transmission electron microscopy; Carboxymethyl cellulose; Chemical engineering; Composite material; Nanotechnology; Chemistry; Metallurgy; Organic chemistry; Polymer; Composite number","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084596,0.0002040907,0.0007412733,0.0001564548,0.0001475407,0.00007340279,0.0001342262,0.00009421385,0.0001171155],"category_scores_gemma":[0.0001589087,0.0001580593,0.0001247433,0.0001170644,0.00002984647,0.00009406712,0.0000544765,0.000335475,0.000001958196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924635,"about_ca_system_score_gemma":0.0002167624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033275,"about_ca_topic_score_gemma":8.895587e-7,"domain_scores_codex":[0.9977634,0.0001610219,0.0007587536,0.0002624735,0.0007263192,0.0003280158],"domain_scores_gemma":[0.9987218,0.00005659788,0.0005322393,0.0001512662,0.0001584913,0.0003795775],"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":[0.004305366,0.000133559,0.00003023149,0.0001878106,0.0001684903,0.0003234484,0.00008680441,0.000002884056,0.9928911,0.00007928829,0.001413023,0.000377933],"study_design_scores_gemma":[0.003142546,0.006635641,0.0001855349,0.0001111815,0.0003962504,0.04908692,0.0001273843,0.0001257049,0.9134893,0.0001158271,0.02639719,0.000186466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962839,0.0009344514,0.0002102793,0.000349189,0.001366567,0.0007113108,0.00002020669,0.00002175084,0.000102291],"genre_scores_gemma":[0.9969227,0.0000622849,0.0001415632,0.0001816051,0.001938983,0.00002000738,0.00002856227,0.00003786941,0.0006664058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07940181,"threshold_uncertainty_score":0.6445471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922641224712162,"score_gpt":0.2766217397619166,"score_spread":0.2573953275147949,"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."}}