{"id":"W2590463237","doi":"10.1016/j.electacta.2017.02.115","title":"Fast growth synthesis of mesoporous germanium films by high frequency bipolar electrochemical etching","year":2017,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Germanium; Mesoporous material; Materials science; Cyclic voltammetry; Porosity; Fourier transform infrared spectroscopy; Etching (microfabrication); Nucleation; Analytical Chemistry (journal); Electrochemistry; Chemical engineering; Nanotechnology; Optoelectronics; Layer (electronics); Chemistry; Electrode; Composite material; Physical chemistry; Silicon","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":[0.00008248497,0.0002918185,0.0002546277,0.0002575959,0.000183673,0.0002277565,0.0002548212,0.0002623896,0.0008409568],"category_scores_gemma":[0.0001046061,0.0002499402,0.0001551182,0.0001299381,0.0001338955,0.0002850863,0.0001740881,0.0002551582,0.0002546447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927965,"about_ca_system_score_gemma":0.0002148527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310135,"about_ca_topic_score_gemma":0.003561813,"domain_scores_codex":[0.9999388,0.000002147818,0.000004091518,0.00001644223,0.00002127137,0.0000172964],"domain_scores_gemma":[0.9999567,0.00001036782,0.000008887409,0.000006560887,0.000009329508,0.000008109885],"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":[0.000009862495,0.000001903298,0.0000291119,0.00002784564,0.000002766499,0.00001873462,0.000008018838,0.00004385448,0.9987507,0.0000906804,0.0000443658,0.0009721979],"study_design_scores_gemma":[0.000005043185,0.00002133071,0.0006017602,0.000001933913,0.000003716824,0.00003134873,0.000005962567,0.0004252415,0.9974977,0.00003495267,0.001368413,0.000002613524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973942,0.003104536,0.01621725,0.000176982,0.0001119152,0.00004453909,0.001147777,0.0004029487,0.004852098],"genre_scores_gemma":[0.9868572,0.0009385572,0.009495097,0.00002453339,0.00001469932,0.00001695055,0.000326225,0.00005435015,0.002272373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001310135,"threshold_uncertainty_score":0.002849936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004315664553585233,"score_gpt":0.2130972687076985,"score_spread":0.2087816041541133,"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."}}