{"id":"W3009889048","doi":"10.1016/j.chemosphere.2020.126387","title":"Most suitable amino silane molecules for surface functionalization of graphene oxide toward hexavalent chromium adsorption","year":2020,"lang":"en","type":"article","venue":"Chemosphere","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Research Council of Science and Technology; Korea Institute of Science and Technology; Ministry of Environment","keywords":"Hexavalent chromium; Surface modification; Silane; Adsorption; Graphene; Oxide; Molecule; Chromium; Chemistry; Inorganic chemistry; Materials science; Chemical engineering; Organic chemistry; Nanotechnology; Physical chemistry","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":[0.00004963647,0.0001390408,0.0001935879,0.000008289545,0.00003137705,0.00001715655,0.0001038138,0.0000885319,0.0001733129],"category_scores_gemma":[0.00001622807,0.0001504932,0.00006277556,0.0002966253,0.00002237294,0.00008543322,0.00001704305,0.00003741564,0.00001709242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002405896,"about_ca_system_score_gemma":0.00001954924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002345685,"about_ca_topic_score_gemma":0.000005002482,"domain_scores_codex":[0.9992774,0.000007429474,0.0002604039,0.0001827635,0.0001072322,0.0001648462],"domain_scores_gemma":[0.9995818,0.00002577875,0.00005847315,0.0001484168,0.0001137946,0.0000718025],"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":[0.00002536342,0.00002560742,0.0005946698,0.0003788773,0.00003663838,1.468614e-7,0.0000744831,0.04014916,0.950237,0.0006817291,0.007657605,0.000138743],"study_design_scores_gemma":[0.0004988296,0.00004768817,0.002786679,0.00002024152,0.00004794372,9.661795e-7,0.00009628323,0.02059989,0.9687288,0.0002889086,0.006697302,0.0001864507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397972,0.0006875016,0.05812062,0.0001645667,0.00009870256,0.000377888,0.0001215272,0.0002188422,0.0004131045],"genre_scores_gemma":[0.9947191,0.0001626568,0.004460085,0.00007998261,0.00006804594,0.00006520289,0.0003549567,0.00003812444,0.00005185397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05492184,"threshold_uncertainty_score":0.6136934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731582430634783,"score_gpt":0.205661077675999,"score_spread":0.1883452533696512,"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."}}