{"id":"W1979243912","doi":"10.1016/j.apsusc.2013.03.147","title":"Hydrogen sulfide adsorption on nano-sized zinc oxide/reduced graphite oxide composite at ambient condition","year":2013,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adsorption; Graphene; Materials science; Oxide; Chemical engineering; Inorganic chemistry; Graphite oxide; Composite number; Hydrogen sulfide; Graphite; Carbon nanotube; Zinc; Hydrogen; Nanoparticle; Composite material; Nanotechnology; Chemistry; Organic chemistry; Sulfur; Metallurgy","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":["insufficient_payload"],"category_scores_codex":[0.001674483,0.000441474,0.000507959,0.0002228254,0.0008704992,0.0004147334,0.0009548339,0.0001509644,0.00124087],"category_scores_gemma":[0.00005216348,0.0003952548,0.0001128694,0.0008849119,0.0009715004,0.0008209326,0.0003814571,0.0001319155,0.01021571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003818065,"about_ca_system_score_gemma":0.0001506476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004997121,"about_ca_topic_score_gemma":0.00002112186,"domain_scores_codex":[0.9955482,0.0001364443,0.0006716794,0.001268016,0.001280236,0.00109543],"domain_scores_gemma":[0.9978922,0.0001211327,0.0003905007,0.0009151163,0.0002038863,0.0004771631],"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":[0.00008470246,0.0001159854,0.00005143805,0.00001585622,0.000006521152,0.000006646705,0.0002723747,0.00159192,0.9954564,0.001932346,0.000417896,0.00004792444],"study_design_scores_gemma":[0.0006899171,0.00008019385,0.001539723,0.00003399117,0.00002086671,0.0000201593,0.00008450342,0.0001615371,0.9949245,0.00121816,0.0007293311,0.0004971558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963247,0.00003510603,0.0001028774,0.0001914182,0.0005626688,0.001224304,0.000053997,0.0003508689,0.001154065],"genre_scores_gemma":[0.9966765,0.00001899753,0.001776802,0.0007397158,0.00004600555,0.0001602631,0.00004405651,0.00004205841,0.0004955967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008974842,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152250295545228,"score_gpt":0.237596060461762,"score_spread":0.2260735575063098,"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."}}