{"id":"W4297816231","doi":"10.48550/arxiv.1611.04312","title":"Diffusion of Hydrogen in Proton Implanted Silicon: Dependence on the\\n Hydrogen Concentration","year":2016,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Hydrogen; Arrhenius equation; Silicon; Diffusion; Activation energy; Lattice diffusion coefficient; Materials science; Impurity; Thermal diffusivity; Crystallinity; Proton; Arrhenius plot; Crystalline silicon; Analytical Chemistry (journal); Effective diffusion coefficient; Chemical physics; Chemistry; Crystallography; Thermodynamics; Physical chemistry; Organic chemistry; Physics","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":[0.0001780437,0.0001958866,0.00017066,0.00021142,0.0001137822,0.0003875768,0.0002366783,0.0003349721,0.0008213948],"category_scores_gemma":[0.000551092,0.0001928267,0.0001487261,0.000223728,0.0002615188,0.0004099629,0.0001546473,0.0003556503,0.0002077333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841025,"about_ca_system_score_gemma":0.0001482722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880547,"about_ca_topic_score_gemma":0.001304419,"domain_scores_codex":[0.9998885,0.00001280751,0.000006361931,0.00004120403,0.00003188763,0.0000192178],"domain_scores_gemma":[0.9996699,0.0001805024,0.00005844707,0.00001615089,0.00006141097,0.00001367577],"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":[0.0003303097,0.0000366053,0.002910944,0.0001560053,0.00002524479,0.0001824031,0.0001621233,0.003040325,0.9865937,0.000386241,0.0001933837,0.0059827],"study_design_scores_gemma":[0.00001497002,0.0003410056,0.008445832,0.00001366255,0.00002147958,0.0001329317,0.00009577718,0.02151891,0.9681797,0.000102128,0.001107541,0.00002603728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952479,0.00153437,0.00160242,0.0001028758,0.00001436834,0.00000752603,0.0002448553,0.00005092777,0.001194803],"genre_scores_gemma":[0.9969636,0.001036015,0.0009000931,0.00001697752,0.000005244549,0.000009403626,0.0001780431,0.00001343381,0.0008772073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001880547,"threshold_uncertainty_score":0.003739178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310584410597833,"score_gpt":0.1779926755494276,"score_spread":0.1348868314434493,"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."}}