{"id":"W2038865626","doi":"10.1016/j.mssp.2012.06.009","title":"Elimination of impurities from the surface of silicon using hydrochloric and nitric acid","year":2012,"lang":"en","type":"article","venue":"Materials Science in Semiconductor Processing","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Impurity; Silicon; Nitric acid; Materials science; Analytical Chemistry (journal); Leaching (pedology); Intermetallic; Metallurgy; Scanning electron microscope; Hydrochloric acid; Nuclear chemistry; Energy-dispersive X-ray spectroscopy; Alloy; Chemistry; Composite material; Chromatography","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":[0.0004379972,0.0003440623,0.0002748954,0.0003019929,0.0002628629,0.0002267522,0.0005284184,0.0004391799,0.0007559097],"category_scores_gemma":[0.0004624235,0.0002151656,0.0003281742,0.0001281989,0.0002886191,0.0002737331,0.0002365243,0.0004765754,0.0002407335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532483,"about_ca_system_score_gemma":0.0002838636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009656373,"about_ca_topic_score_gemma":0.002068457,"domain_scores_codex":[0.9997091,0.00004759437,0.00001874078,0.0000391058,0.0001242978,0.00006113774],"domain_scores_gemma":[0.9997731,0.00007154791,0.00002922982,0.00002879678,0.00007769749,0.00001969977],"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":[0.0004859515,0.00003068629,0.0003989281,0.0002320191,0.00003092744,0.00009315811,0.00005453743,0.0003051576,0.9876812,0.0002233117,0.0001593677,0.01030478],"study_design_scores_gemma":[0.00001567705,0.000150569,0.00047047,0.000004980217,0.00001239207,0.00007764158,0.00002102693,0.0005461426,0.9972004,0.00004161764,0.001452539,0.000006550956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725702,0.006195843,0.01411302,0.0002581618,0.0001694226,0.00008581042,0.0001268192,0.0001354172,0.006345384],"genre_scores_gemma":[0.9774497,0.002319793,0.01267356,0.0001590285,0.0000458813,0.00002682145,0.0002376409,0.00004051475,0.007047069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009656373,"threshold_uncertainty_score":0.002528787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720394368126388,"score_gpt":0.2504557272609552,"score_spread":0.2232517835796913,"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."}}