{"id":"W2955930058","doi":"10.1021/acs.langmuir.9b01810","title":"Mn<sup>2+</sup>-Assisted DNA Oligonucleotide Adsorption on Ti<sub>2</sub>C MXene Nanosheets","year":2019,"lang":"en","type":"article","venue":"Langmuir","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Oligonucleotide; Chemistry; Chemical engineering; Materials science; DNA; Physical chemistry; Crystallography; Inorganic chemistry; Nanotechnology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000490988,0.0003285224,0.0004604544,0.0001456208,0.0001212507,0.0001821461,0.0003815744,0.0001888709,0.002553412],"category_scores_gemma":[0.00005183091,0.0002860436,0.0001341782,0.0002022513,0.0000591753,0.0002865993,0.0001399428,0.0001115418,0.01685625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008662361,"about_ca_system_score_gemma":0.00004798808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004938807,"about_ca_topic_score_gemma":0.0000104941,"domain_scores_codex":[0.9976681,0.0001914771,0.0004744722,0.0006292124,0.0004492326,0.0005874451],"domain_scores_gemma":[0.9988559,0.00007268145,0.0002018185,0.0006477325,0.00007254954,0.0001493342],"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":[0.0001100287,0.0001668168,0.00007417933,0.00008541578,0.00001425716,0.00002171274,0.0002621108,0.00009243342,0.9863492,0.001518276,0.009812372,0.00149326],"study_design_scores_gemma":[0.000948801,0.0002309894,0.003332773,0.00008430284,0.00002760229,0.0000269762,0.00006194771,0.0001045872,0.9747452,0.0003391293,0.0197179,0.0003797833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883305,0.00003713539,0.00001073085,0.0004111137,0.001045467,0.0004315587,0.0001448812,0.0003651242,0.009223505],"genre_scores_gemma":[0.9968736,0.00001787783,0.0001474549,0.001039309,0.0003581559,0.00004707138,0.0001380998,0.00006373282,0.001314722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01430284,"threshold_uncertainty_score":0.9999592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364748756481586,"score_gpt":0.2305977683042698,"score_spread":0.216950280739454,"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."}}