{"id":"W2221277184","doi":"10.11113/jt.v77.5455","title":"WATER TREATMENT PERFOMANCE: APPLICATION OF ELECTROSPUN NANOFIBERS","year":2015,"lang":"en","type":"article","venue":"Jurnal Teknologi","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electrospinning; Membrane; Microfiltration; Nanofiber; Filtration (mathematics); Materials science; Permeability (electromagnetism); Water treatment; Chemical engineering; Composite material; Chemistry; Environmental engineering; Environmental science; Polymer; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457271,0.0001694465,0.0002634039,0.00008447793,0.00009442188,0.00002126853,0.0003830934,0.0001429333,0.00007904474],"category_scores_gemma":[0.00001447902,0.0001063624,0.00007343414,0.0002306733,0.0002867322,0.0001370756,0.00006496142,0.00008487733,0.0005403544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204838,"about_ca_system_score_gemma":0.0001136595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004859421,"about_ca_topic_score_gemma":0.000007365693,"domain_scores_codex":[0.998426,0.00005584092,0.0003773296,0.0003470705,0.0003515112,0.0004422854],"domain_scores_gemma":[0.9990571,0.00004038462,0.0001437757,0.0004377429,0.0001548075,0.0001661893],"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":[0.00004440284,0.0001726857,0.0008354046,0.000005832856,0.00001159234,0.00000250058,0.0001512827,0.000006475388,0.9913504,0.002837468,0.0008796059,0.003702316],"study_design_scores_gemma":[0.0005175701,0.0006279704,0.0003121477,0.000004539253,0.00002341675,0.00004460855,0.0000289445,0.00008298563,0.9684466,0.004548845,0.02523013,0.0001322782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555496,0.0004209268,0.03792075,0.002206569,0.0002768112,0.0005114882,0.00001664738,0.0002463548,0.002850845],"genre_scores_gemma":[0.9717237,0.0000678786,0.02691328,0.0001748769,0.0001625509,0.0002171578,0.00002701055,0.00002032584,0.0006932577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02435052,"threshold_uncertainty_score":0.6945343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798017182719453,"score_gpt":0.2721140095560504,"score_spread":0.2541338377288559,"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."}}