{"id":"W2995511403","doi":"10.1007/s00894-019-4243-9","title":"First principles investigation on armchair zinc oxide nanoribbons as uric acid sensors","year":2019,"lang":"en","type":"article","venue":"Journal of Molecular Modeling","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Chemisorption; Density functional theory; Dopant; Materials science; Doping; Adsorption; Condensed matter physics; Uric acid; Conductivity; Zinc; Density of states; Computational chemistry; Chemical physics; Chemistry; Physical chemistry; Optoelectronics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914704,0.0003046563,0.0005181684,0.000134841,0.000383228,0.0006890679,0.0007322105,0.0005487459,0.001820806],"category_scores_gemma":[0.0003029301,0.000237231,0.0002682385,0.0001623472,0.0002777115,0.0004379059,0.000250759,0.0004471116,0.0002428269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194571,"about_ca_system_score_gemma":0.0002599752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003171,"about_ca_topic_score_gemma":0.001692376,"domain_scores_codex":[0.9998986,0.0000165647,0.000002108957,0.00001506825,0.00004747771,0.00002024586],"domain_scores_gemma":[0.999935,0.00003073096,0.000007837445,0.000008479504,0.00001191276,0.000005920009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004796956,0.000227857,0.0008953803,0.001254553,0.00005527724,0.0006549399,0.0003564263,0.05435883,0.7626653,0.1561465,0.002657854,0.02024744],"study_design_scores_gemma":[0.00004405914,0.0003293097,0.0008629627,0.0000564295,0.00004435501,0.0001810674,0.0001607605,0.7342298,0.2456167,0.01145686,0.006982362,0.00003532464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672921,0.003838744,0.08255295,0.001147329,0.0001875852,0.0001439953,0.0003504494,0.0003595624,0.04412723],"genre_scores_gemma":[0.9705071,0.001414418,0.02231395,0.00009019973,0.00001692495,0.0000611026,0.00007231913,0.00004844874,0.005475698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001820806,"threshold_uncertainty_score":0.006091177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792128252011437,"score_gpt":0.2539399814307447,"score_spread":0.2160186989106303,"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."}}