{"id":"W2022286402","doi":"10.1016/j.elspec.2003.07.001","title":"An exponential decay function as a model of the oxygen concentration profile in the surface of a polystyrene sample exposed to an oxygen plasma","year":2004,"lang":"en","type":"article","venue":"Journal of Electron Spectroscopy and Related Phenomena","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Exponential function; Exponential decay; Polystyrene; Oxygen; Helium; Irradiation; Scattering; Photoelectric effect; Laplace transform; Chemistry; Analytical Chemistry (journal); Plasma; Exponential distribution; Materials science; Function (biology); Atomic physics; Physics; Optics; Mathematical analysis; Nuclear physics; Statistics; Chromatography; Mathematics; Polymer; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186502,0.0002439636,0.0004464449,0.000139101,0.0001678816,0.00006948289,0.0005505771,0.0001486156,0.00006311542],"category_scores_gemma":[0.00003359811,0.0001542673,0.0001114066,0.0005235695,0.0001344303,0.0005103062,0.00003081332,0.00046975,0.000001653391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226338,"about_ca_system_score_gemma":0.000461756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804866,"about_ca_topic_score_gemma":0.0001271484,"domain_scores_codex":[0.9974221,0.0003199069,0.0008966819,0.0002978332,0.0005592335,0.0005042444],"domain_scores_gemma":[0.9985295,0.00005622446,0.0007545124,0.0003715624,0.0001540234,0.0001341669],"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":[0.001423419,0.0004379053,0.00009105367,0.00001352905,0.00003240407,0.000001538235,0.003365666,0.01018178,0.975632,0.008770241,0.00001598757,0.00003454005],"study_design_scores_gemma":[0.001313349,0.005888222,0.000457763,0.00007006453,0.00007614733,0.00004243281,0.0004081618,0.001413468,0.9759738,0.01418095,0.00001261932,0.0001629528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927517,0.0004084771,0.005214885,0.0005241983,0.0001290394,0.0006033267,0.00001501772,0.00002616506,0.0003271434],"genre_scores_gemma":[0.9942456,0.0001633503,0.005343172,0.0001098431,0.00007625928,0.000009676452,0.000006708892,0.00002493929,0.00002040402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008768313,"threshold_uncertainty_score":0.6290838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105172296945933,"score_gpt":0.2632392802394513,"score_spread":0.252722050544858,"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."}}