{"id":"W2094403046","doi":"10.1063/1.4892015","title":"Competitive gettering of iron in silicon photovoltaics: Oxide precipitates versus phosphorus diffusion","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Gender and Health; Engineering and Physical Sciences Research Council; University of Oxford; Royal Academy of Engineering","keywords":"Getter; Materials science; Silicon; Impurity; Precipitation; Oxide; Iron oxide; Diffusion; Metallurgy; Carrier lifetime; Inorganic chemistry; Analytical Chemistry (journal); Chemistry; Optoelectronics; Environmental chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355611,0.0001424424,0.0003299637,0.00008488607,0.00001698113,0.00001291791,0.0001946429,0.00008462691,0.00000590421],"category_scores_gemma":[0.00001936516,0.0001347423,0.00007866754,0.0001412904,0.00005475666,0.00007790837,0.00004450076,0.0003284065,0.000004402239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006965026,"about_ca_system_score_gemma":0.000007707536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074325,"about_ca_topic_score_gemma":0.000004682113,"domain_scores_codex":[0.9992136,0.000009254612,0.000355987,0.00008485057,0.0001664827,0.0001698735],"domain_scores_gemma":[0.9994766,0.000147668,0.0001565561,0.0001519611,0.00003153034,0.00003566959],"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":[0.000196506,0.00007251024,0.001343371,0.0000752589,0.00003856721,0.000003260913,0.0006927925,0.04864367,0.9341305,0.003641812,0.0000684889,0.01109329],"study_design_scores_gemma":[0.001790744,0.0001460463,0.006309451,0.00009805105,0.00002169122,0.00000141729,0.0008885096,0.02168059,0.9659239,0.001751777,0.001196981,0.0001908596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938044,0.0001059944,0.0003934806,0.000004390669,0.0002023955,0.00007937634,0.000002013423,0.00004934423,0.00535858],"genre_scores_gemma":[0.9987673,0.0002334005,0.0008870243,0.00001489798,0.0000654936,0.00000325888,0.00000151501,0.00002353923,0.000003558861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179342,"threshold_uncertainty_score":0.5494631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008547483160976598,"score_gpt":0.2030301832925793,"score_spread":0.1944827001316027,"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."}}