{"id":"W2594086079","doi":"10.22159/ajpcr.2017.v10i3.15538","title":"GREEN SYNTHESIS OF SUPERPARAMAGNETIC IRON OXIDE NANOPARTICLE FROM FICUS CARICA FRUIT EXTRACT, CHARACTERIZATION STUDIES AND ITS APPLICATION ON DYE DEGRADATION STUDIES","year":2017,"lang":"en","type":"article","venue":"Asian Journal of Pharmaceutical and Clinical Research","topic":"Phytochemistry and biological activities of Ficus species","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Carica; Ficus; Ferrous; Chemistry; Nuclear chemistry; Superparamagnetism; Nanoparticle; Fourier transform infrared spectroscopy; Degradation (telecommunications); Materials science; Chemical engineering; Nanotechnology; Organic chemistry; Botany","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":[0.0000886468,0.0002792882,0.0001251032,0.000315492,0.0001214172,0.00009183218,0.0001144972,0.0002370684,0.00049704],"category_scores_gemma":[0.0001023588,0.00007286768,0.0001501135,0.0001044623,0.0001005931,0.0001314047,0.00007766502,0.0001672579,0.0001399042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370174,"about_ca_system_score_gemma":0.00007892454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005555784,"about_ca_topic_score_gemma":0.00117369,"domain_scores_codex":[0.9999526,0.000005347775,0.000002772191,0.00001138249,0.000020538,0.000007478801],"domain_scores_gemma":[0.9999412,0.00001155018,0.00001376323,0.000005231692,0.00002116373,0.000007094664],"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":[0.00001390895,0.000007280847,0.00007627342,0.00004599693,0.000002321865,0.00004197197,0.00001311739,0.00005564016,0.9983705,0.00002480494,0.00001609698,0.001332076],"study_design_scores_gemma":[0.000002419371,0.00009164446,0.001483188,0.000002822608,0.000007049515,0.0001081374,0.00001004926,0.0005993557,0.996549,0.00001537473,0.001127675,0.000003370069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907902,0.001463442,0.005843496,0.00006647949,0.00001459518,0.000050063,0.0001349167,0.00005633605,0.001580319],"genre_scores_gemma":[0.9888315,0.0005783685,0.008138591,0.00003639456,0.000006300166,0.00003504927,0.0002147585,0.00001446403,0.002144633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005555784,"threshold_uncertainty_score":0.001662791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2811221582189599,"score_gpt":0.4662026234855767,"score_spread":0.1850804652666168,"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."}}