{"id":"W4289782799","doi":"","title":"Inductively Coupled Plasma Mass Spectrometry of Photocorroding GaAs/AlGaAs Nano-heterostructures in Aqueous Environments","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Inductively coupled plasma mass spectrometry; Heterojunction; Mass spectrometry; Aqueous solution; Inductively coupled plasma; Optoelectronics; Materials science; Nano-; Gallium arsenide; Plasma; Analytical Chemistry (journal); Chemistry; Chromatography; Physics; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002231413,0.0002944413,0.0002075488,0.0003239654,0.0004049742,0.0004647557,0.0003939558,0.0004688194,0.001765739],"category_scores_gemma":[0.0003579676,0.0001452803,0.000149311,0.0002404589,0.0003538728,0.0003429308,0.0003107005,0.0003184729,0.0004901171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569883,"about_ca_system_score_gemma":0.0002406339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402962,"about_ca_topic_score_gemma":0.003047451,"domain_scores_codex":[0.9997913,0.0000188475,0.000007734172,0.00006100199,0.00008932121,0.00003182414],"domain_scores_gemma":[0.999881,0.00005096314,0.00001703558,0.000008579846,0.0000332645,0.000009095691],"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":[0.00003985777,0.000003813263,0.0001543361,0.00001823183,0.000003163423,0.0000380537,0.00005801252,0.00003994251,0.9985254,0.00004983029,0.00003255735,0.001036796],"study_design_scores_gemma":[0.000003036417,0.00003531271,0.001371989,0.000002767187,0.000004426987,0.00006616904,0.00007291267,0.0005096772,0.997143,0.00006549407,0.0007223185,0.000002917803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830009,0.001273742,0.01012237,0.000214455,0.00005214706,0.00003844379,0.0005913442,0.0001991922,0.004507438],"genre_scores_gemma":[0.986246,0.0009552528,0.005707795,0.0001221094,0.00002444351,0.00003466158,0.0002556098,0.00005143827,0.006602711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002402962,"threshold_uncertainty_score":0.00590694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007781952873055583,"score_gpt":0.2039844580304953,"score_spread":0.1962025051574397,"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."}}