{"id":"W2890213483","doi":"10.1016/j.jcis.2018.09.034","title":"pH-sensitive and magnetically separable Fe/Cu bimetallic nanoparticles supported by graphene oxide (GO) for high-efficiency removal of tetracyclines","year":2018,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Adsorption; Aqueous solution; Bimetallic strip; Nanocomposite; Graphene; Nanoparticle; Oxide; Chemical engineering; Chemistry; Zerovalent iron; Dissolution; Inorganic chemistry; Materials science; Nuclear chemistry; Metal; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006308791,0.0001072849,0.00023192,0.0001334691,0.00007781634,0.00005741999,0.0001415482,0.00003397312,0.0000259005],"category_scores_gemma":[0.0001664173,0.00008634439,0.0000276067,0.0002541148,0.0007377853,0.0003537216,0.00003626367,0.00004608821,0.00000177963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000285464,"about_ca_system_score_gemma":0.00003524121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000472179,"about_ca_topic_score_gemma":0.000001281613,"domain_scores_codex":[0.9989122,0.00001654922,0.0004491783,0.0001348644,0.0002788634,0.0002084139],"domain_scores_gemma":[0.9993857,0.0000904186,0.000175685,0.00007613851,0.000145291,0.0001267997],"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":[0.00005104836,0.00003047185,0.0001313299,0.00001770456,0.00001057459,7.673889e-7,0.0001414282,0.00009656615,0.9989149,0.00004022458,0.0001776731,0.0003873421],"study_design_scores_gemma":[0.0004817988,0.0006610753,0.00461924,0.00004685266,0.00002358567,0.00009391202,0.0001153587,0.00299951,0.9902808,0.0001381478,0.0004459892,0.000093742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950637,0.0007124366,0.003651946,0.00006612256,0.0002520879,0.0001372633,0.00001289361,0.00001056171,0.00009294124],"genre_scores_gemma":[0.9908881,0.0002897053,0.00866163,0.00002214355,0.00003236851,0.00000131845,2.752388e-7,0.000009139776,0.0000952961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008634081,"threshold_uncertainty_score":0.3521022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006297379892844742,"score_gpt":0.2347304414479057,"score_spread":0.228433061555061,"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."}}