{"id":"W4366181366","doi":"10.3390/separations10040261","title":"Synthesis of Isoreticular Metal Organic Framework-3 (IRMOF-3) Porous Nanostructure and Its Effect on Naphthalene Adsorption: Optimized by Response Surface Methodology","year":2023,"lang":"en","type":"article","venue":"Separations","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministry of Science and Technology, Taiwan","keywords":"Naphthalene; Adsorption; Chemical engineering; Porosity; Wastewater; Nanomaterials; Nanostructure; Materials science; Metal-organic framework; Specific surface area; Chemistry; Inorganic chemistry; Nanotechnology; Organic chemistry; Environmental engineering; Catalysis; Environmental science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001101864,0.0003476239,0.0006834686,0.0001164384,0.0002405211,0.00004193641,0.0003086971,0.0005788798,0.003456776],"category_scores_gemma":[0.004428889,0.0003120431,0.0001789078,0.0007677363,0.0001248002,0.00008190751,0.00009589039,0.0004323441,0.0001872488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004506767,"about_ca_system_score_gemma":0.00007115784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006311935,"about_ca_topic_score_gemma":0.000001619709,"domain_scores_codex":[0.9974477,0.0007189594,0.0005361364,0.0006100927,0.0003314355,0.0003557209],"domain_scores_gemma":[0.9912362,0.007460518,0.0002746407,0.0007702225,0.0001118749,0.0001465275],"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":[0.0003367908,0.00006887557,0.00003509819,0.00007179206,0.0002239016,0.000005212851,0.000195773,0.0002972971,0.9934916,0.003529173,0.001369683,0.0003747733],"study_design_scores_gemma":[0.0003346793,0.0001046377,0.0001752859,0.0001095656,0.0002993045,0.00003906951,0.0001308266,0.0008033499,0.9953119,0.00115237,0.001234745,0.0003043178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943638,0.001026933,0.001384692,0.001770345,0.0001087639,0.0003196039,0.0003621973,0.0002129999,0.0004506104],"genre_scores_gemma":[0.9900004,0.0003038977,0.007613408,0.00006406641,0.00006328903,0.0001539728,0.0001036706,0.00006849373,0.001628856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006741559,"threshold_uncertainty_score":0.9999332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273732236915324,"score_gpt":0.2957024920885265,"score_spread":0.2729651697193733,"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."}}