{"id":"W2784073332","doi":"10.1038/s41467-017-02673-z","title":"Electron affinity of liquid water","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Basic Energy Sciences; Lawrence Livermore National Laboratory; Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Midwest Integrated Center for Computational Materials; U.S. Department of Energy; Office of Science","keywords":"Chemical physics; Electron affinity (data page); Electron; Ionization; Amorphous ice; Liquid water; Ionization energy; Band gap; Aqueous solution; Molecular physics; Chemistry; Atomic physics; Materials science; Amorphous solid; Physics; Molecule; Ion; Condensed matter physics; Physical chemistry; Thermodynamics; Crystallography; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006443306,0.0000634218,0.00009871394,0.00001765188,0.0001915053,0.000005555012,0.0004417552,0.00005371175,0.0002190317],"category_scores_gemma":[0.000009191558,0.00004530914,0.00005172413,0.00008852284,0.0002007845,0.00003597639,0.0002115623,0.0003579296,0.00003714062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009574678,"about_ca_system_score_gemma":0.00001124627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160393,"about_ca_topic_score_gemma":0.00003437306,"domain_scores_codex":[0.9995906,0.00002711812,0.000112838,0.00007694765,0.00005764823,0.0001348027],"domain_scores_gemma":[0.9991087,0.00006406397,0.00003555961,0.0006590646,0.0001108254,0.00002176321],"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":[0.00006194836,0.0003664775,0.007026561,0.000004393007,0.0001352582,2.407164e-8,0.0006789864,1.897453e-7,0.5916415,0.3927207,0.007143878,0.0002201347],"study_design_scores_gemma":[0.00009228344,0.00007848706,0.0007780967,0.000005319263,0.00001593291,8.502795e-8,0.00004843315,0.000009363559,0.9371212,0.004046787,0.05774102,0.00006302306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192671,0.000674153,0.00008222226,0.002170478,0.00006884863,0.00007737522,0.0000204017,0.00002868902,0.0776108],"genre_scores_gemma":[0.9985812,0.00002052732,0.001048579,0.00007116445,0.0001386947,0.00001244634,0.00005057181,0.000005434207,0.00007136987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3886739,"threshold_uncertainty_score":0.2398244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414522768872154,"score_gpt":0.3132406173178519,"score_spread":0.2990953896291303,"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."}}