{"id":"W2313977485","doi":"10.1149/1.3204392","title":"Detection of Vacancy Distributions by Decoration with Hydrogen","year":2009,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Vacancy defect; Acceptor; Platinum; Hydrogen; Materials science; Doping; Diffusion; Ion; Silicon; Chemical physics; Analytical Chemistry (journal); Molecular physics; Atomic physics; Chemistry; Crystallography; Optoelectronics; Condensed matter physics; Thermodynamics; Catalysis","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":[0.0000195602,0.00007677216,0.00008136116,0.00002331903,0.0001907883,0.00001426007,0.00005329933,0.00001890258,0.0002122437],"category_scores_gemma":[2.203717e-7,0.00007374779,0.00005756773,0.0002470134,0.00002455767,0.0001262286,7.82492e-7,0.00008365793,0.00001603649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001413765,"about_ca_system_score_gemma":0.00002362153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000073044,"about_ca_topic_score_gemma":0.000008842229,"domain_scores_codex":[0.9995723,0.000008845113,0.000123444,0.0001196935,0.00007388464,0.0001018455],"domain_scores_gemma":[0.9996819,0.000009915851,0.00005945943,0.0001459233,0.00005729156,0.00004550488],"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":[0.00002750729,0.001226443,0.0002577771,0.000005719663,0.0001315791,1.169191e-7,0.000182226,0.001856141,0.7689602,0.06974359,0.0006472539,0.1569615],"study_design_scores_gemma":[0.0006992409,0.0002459831,0.003630728,0.00001621998,0.0001570864,0.000001373335,0.0002117472,0.00138197,0.9442985,0.02322529,0.02583398,0.000297881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1846308,0.00001435795,0.8099568,0.0003472974,0.00001788031,0.0001507291,0.0002703494,0.00003470901,0.004577118],"genre_scores_gemma":[0.9993683,0.000002369243,0.0003487462,0.000007866373,0.00004131122,0.00002930203,0.00008602555,0.000007648554,0.0001084935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8147374,"threshold_uncertainty_score":0.3007348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003287286189469792,"score_gpt":0.2032036928534435,"score_spread":0.1999164066639737,"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."}}