{"id":"W2901933200","doi":"10.1016/j.apsusc.2018.11.096","title":"Electronic structure of β-Ta films from X-ray photoelectron spectroscopy and first-principles calculations","year":2018,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Stiftelsen Åforsk; Knut och Alice Wallenbergs Stiftelse; Linköpings Universitet; VINNOVA; Canadian Association of Research Libraries","keywords":"Valence (chemistry); Fermi level; X-ray photoelectron spectroscopy; Electrical resistivity and conductivity; Electronic structure; Binding energy; Band gap; Materials science; Atom (system on chip); Atomic physics; Chemistry; Analytical Chemistry (journal); Condensed matter physics; Electron; Nuclear magnetic resonance; Computational chemistry; Physics","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":[0.0001673415,0.0001483221,0.0001730326,0.00005268887,0.0001962314,0.00003903208,0.0003074789,0.0000601606,0.0002364292],"category_scores_gemma":[0.00001806341,0.0001354277,0.00002072639,0.0005344951,0.0002936342,0.0001145427,0.0000723856,0.0001659713,0.00001936044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000510192,"about_ca_system_score_gemma":0.00006890771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006516566,"about_ca_topic_score_gemma":0.000204213,"domain_scores_codex":[0.9987928,0.000005588442,0.000175497,0.0003053114,0.0002892576,0.0004315785],"domain_scores_gemma":[0.9994897,0.00002710723,0.00004318977,0.0003089212,0.00004394727,0.0000870861],"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":[0.000004543832,0.000005003947,0.00008803039,0.000008583762,0.000009937319,1.151631e-7,0.0002329854,0.00660715,0.974249,0.01868563,0.00006490009,0.0000441358],"study_design_scores_gemma":[0.0001183746,0.00004346927,0.001331897,0.000006629822,0.00001102832,8.350366e-7,0.00004187653,0.1523663,0.8395358,0.005160762,0.001238677,0.0001443961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991919,0.0002006398,0.005048542,0.00001573137,0.0002692165,0.0001640869,0.00003156606,0.00009671769,0.002254497],"genre_scores_gemma":[0.9864379,0.00004768943,0.01338315,0.00002128902,0.00003088358,0.000002019802,0.000006279965,0.00001553271,0.00005529309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1457591,"threshold_uncertainty_score":0.5522582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008383227978539336,"score_gpt":0.2095469960235497,"score_spread":0.2011637680450104,"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."}}