{"id":"W4252402636","doi":"10.1039/c8na90001a","title":"Correction: Synthesis of γ-alumina (Al<sub>2</sub>O<sub>3</sub>) nanoparticles and their potential for use as an adsorbent in the removal of methylene blue dye from industrial wastewater","year":2018,"lang":"en","type":"erratum","venue":"Nanoscale Advances","topic":"Synthesis of Tetrazole Derivatives","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Methylene blue; Adsorption; Wastewater; Nanoparticle; Methylene; Materials science; Industrial wastewater treatment; Nuclear chemistry; Chemical engineering; Nanotechnology; Chemistry; Waste management; Catalysis; Organic chemistry; Engineering; Photocatalysis","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"],"consensus_categories":[],"category_scores_codex":[0.0005914606,0.0008017074,0.0013918,0.0002486878,0.0001955774,0.0001136718,0.0009221152,0.0009987029,0.00003324875],"category_scores_gemma":[0.001779101,0.0006094057,0.0003935031,0.0003006616,0.0009075277,0.0007717802,0.0002124474,0.0007307057,0.000003347549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052564,"about_ca_system_score_gemma":0.0002128876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001752982,"about_ca_topic_score_gemma":0.0005832654,"domain_scores_codex":[0.9958565,0.0003865982,0.001237282,0.001130809,0.0007543099,0.00063448],"domain_scores_gemma":[0.9947882,0.002531072,0.001180709,0.001069523,0.0002840671,0.0001464446],"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":[0.001149342,0.00041689,0.0001457564,0.0002167532,0.0002655992,0.00002197175,0.0008264395,0.00001523792,0.9112853,0.000003455498,0.01101717,0.0746361],"study_design_scores_gemma":[0.0009601564,0.0002786714,0.0004158451,0.001304865,0.0003119452,0.00004893783,0.003120092,0.0002866064,0.9714813,0.000312735,0.0208581,0.0006207571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888868,0.00308935,0.00002176895,0.0001657255,0.005845888,0.0005195902,0.001175314,0.00006392708,0.0002316195],"genre_scores_gemma":[0.9942984,0.002341199,0.0005513103,0.00005481467,0.00180725,0.0002865017,0.0002698075,0.0001494781,0.0002412249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07401535,"threshold_uncertainty_score":0.9996358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802364838045053,"score_gpt":0.2457984148587214,"score_spread":0.2277747664782708,"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."}}