{"id":"W2965028372","doi":"10.1557/adv.2019.320","title":"Understanding gaas Native Oxides By Correlating Three Liquid Contact Angle Analysis (3LCAA) and High Resolution Ion Beam Analysis (HR-IBA) to X-Ray Photoelectron Spectroscopy (XPS) as Function of Surface Processing","year":2019,"lang":"en","type":"article","venue":"MRS Advances","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"X-ray photoelectron spectroscopy; Materials science; Ion; Surface (topology); Ion beam; Contact angle; Beam (structure); Analytical Chemistry (journal); Resolution (logic); X-ray; High resolution; Atomic physics; Optics; Nuclear magnetic resonance; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000794798,0.0003426973,0.0008043713,0.0005458154,0.000329134,0.0001530747,0.0002210817,0.000129627,0.0001983844],"category_scores_gemma":[0.00006368737,0.0003207243,0.000164564,0.002517317,0.0001092362,0.0009294066,0.00006516113,0.0002278294,0.000009188954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812176,"about_ca_system_score_gemma":0.00007539231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005381135,"about_ca_topic_score_gemma":0.001174454,"domain_scores_codex":[0.9972953,0.0001337264,0.0005410298,0.0008278912,0.0005892228,0.0006128559],"domain_scores_gemma":[0.9986406,0.0001788226,0.0005847214,0.0003149952,0.000161949,0.0001189388],"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":[0.0007843443,0.00006341134,0.01016925,0.00004429044,0.0002891638,8.662763e-7,0.0002858902,0.007065077,0.9802685,0.0009034104,0.00003792549,0.0000879215],"study_design_scores_gemma":[0.0003248058,0.00296481,0.002953661,0.00009234693,0.001152288,9.975099e-7,0.000717931,0.005168806,0.9843651,0.001774634,0.00009227193,0.0003923702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7823549,0.001982494,0.2143183,0.00008320677,0.00008592161,0.0004422359,0.00002227638,0.0001732206,0.0005374356],"genre_scores_gemma":[0.9932222,0.0002663422,0.006164682,0.00007122675,0.00003324356,0.00002295035,0.00005265463,0.00002985477,0.0001368563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2108673,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414721406420989,"score_gpt":0.2734430203578134,"score_spread":0.2592958062936035,"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."}}