{"id":"W4388907865","doi":"10.1016/j.electacta.2023.143529","title":"Potential monitoring during Ge electrochemical etching: Towards tunable double porosity layers","year":2023,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique; Fonds de recherche du Québec – Nature et technologies; Umicore; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Université de Sherbrooke; Mitacs; Indian National Science Academy","keywords":"Passivation; Etching (microfabrication); Materials science; Fabrication; Substrate (aquarium); Porosity; Nanotechnology; Germanium; Process (computing); Electrochemistry; Isotropic etching; Layer (electronics); Optoelectronics; Electrode; Computer science; Composite material; Chemistry; Silicon; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000271368,0.0003352696,0.0003605727,0.0001559244,0.0004902972,0.0002322936,0.0007400758,0.0001921509,0.0003033971],"category_scores_gemma":[0.00006525421,0.0003278952,0.0001588493,0.0006598721,0.00007285543,0.0003155555,0.0002524534,0.0004404441,0.0001774549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621447,"about_ca_system_score_gemma":0.0001824114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001417181,"about_ca_topic_score_gemma":0.00001163265,"domain_scores_codex":[0.9970262,0.00005672302,0.0003628342,0.0007288984,0.0005396127,0.001285742],"domain_scores_gemma":[0.9990112,0.00004738647,0.0001381441,0.0004937482,0.00007211821,0.0002374056],"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":[0.0003406189,0.00002882909,0.001008551,0.00004240582,0.00001394908,0.00002590714,0.0001742263,0.00001089073,0.9978043,0.00003406436,0.0004902752,0.00002591763],"study_design_scores_gemma":[0.0007958296,0.00006859279,0.01373424,0.00002681706,0.00002385822,0.0001038768,0.00003818443,0.00009339143,0.9843217,0.0002282002,0.0001929931,0.0003723407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974802,0.00007309457,0.00001886413,0.0003500664,0.000776809,0.0002461184,0.000007926104,0.0006728872,0.0003740026],"genre_scores_gemma":[0.9981434,0.0001025869,0.0002069991,0.00005491088,0.0006556266,0.00003439757,0.00002495769,0.0000536357,0.000723424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348269,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005667748395977,"score_gpt":0.243704497336906,"score_spread":0.2336478198529462,"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."}}