{"id":"W4391159090","doi":"10.48550/arxiv.2401.12158","title":"Electron mobility of SnO2 from first principles","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Scientific Computing Research; Natural Sciences and Engineering Research Council of Canada; Office of Science; Basic Energy Sciences; National Energy Research Scientific Computing Center; National Defense Science and Engineering Graduate; Fonds De La Recherche Scientifique - FNRS; U.S. Department of Energy; U.S. Department of Defense","keywords":"Ionized impurity scattering; Scattering; Electron mobility; Phonon scattering; Doping; Condensed matter physics; Semiconductor; Impurity; Materials science; Anisotropy; Electron; Band gap; Phonon; Electron scattering; Carrier scattering; Optoelectronics; Chemistry; Physics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006046719,0.0009400616,0.0009296378,0.001114793,0.0007585095,0.001282803,0.001692818,0.001536977,0.002485975],"category_scores_gemma":[0.001200884,0.0006050685,0.0008539744,0.0006268456,0.0009562411,0.001407486,0.00068292,0.0007837416,0.0005985085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472384,"about_ca_system_score_gemma":0.001581777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006191361,"about_ca_topic_score_gemma":0.006255219,"domain_scores_codex":[0.9996526,0.00005199921,0.000009438222,0.00002927808,0.0001927024,0.00006394847],"domain_scores_gemma":[0.999716,0.0001151369,0.00002030914,0.00003797216,0.0000973499,0.00001321856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000636722,0.0001402195,0.0008175551,0.00059032,0.00005061694,0.0002742057,0.0002153173,0.842751,0.0139548,0.1282478,0.003187932,0.009706561],"study_design_scores_gemma":[0.00001692883,0.00001389633,0.0002614145,0.00003487731,0.00000609055,0.00003480806,0.00002308858,0.9833815,0.001461565,0.01315907,0.00158892,0.00001785236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5757952,0.008423748,0.1820328,0.003222474,0.0005726903,0.000496242,0.003458056,0.001086454,0.2249123],"genre_scores_gemma":[0.9359626,0.00464062,0.03160684,0.0005397592,0.0001261738,0.0006933828,0.002132485,0.0004681575,0.02382992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006191361,"threshold_uncertainty_score":0.01231068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514326812609556,"score_gpt":0.1581355409306954,"score_spread":0.1129922728045998,"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."}}