{"id":"W3013858857","doi":"10.1007/s10934-020-00875-3","title":"Characterizing and optimizing the electropolishing and pore arrangement in porous anodic aluminum oxide (AAO)","year":2020,"lang":"en","type":"article","venue":"Journal of Porous Materials","topic":"Anodic Oxide Films and Nanostructures","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Electropolishing; Anodizing; Materials science; Porosity; Anodic Aluminum Oxide; Aluminium; Surface roughness; Surface finish; Nanopore; Oxide; Anode; Oxalic acid; Electrokinetic phenomena; Electrolyte; Chemical engineering; Nanotechnology; Composite material; Metallurgy; Fabrication; Chemistry; Inorganic chemistry; Electrode; Physical chemistry","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":[0.00101412,0.0002003595,0.0005062151,0.00007868995,0.0001160665,0.0003944421,0.0002561284,0.0000796415,0.0002070345],"category_scores_gemma":[0.000155707,0.0001312367,0.00003445397,0.00009149866,0.0001123428,0.0004704108,0.0001403402,0.0001697987,0.000002997565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004171809,"about_ca_system_score_gemma":0.00006128276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130108,"about_ca_topic_score_gemma":0.000008822965,"domain_scores_codex":[0.9982256,0.0001604427,0.0007517145,0.0002177824,0.0002996743,0.0003447486],"domain_scores_gemma":[0.9989237,0.00005790246,0.0007016363,0.0001160275,0.00006043541,0.0001402542],"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":[0.000166949,0.00001057179,0.0003476623,0.00004916454,0.00001234468,0.0001863464,0.002297316,0.000004627811,0.9960266,0.0001097154,0.0004026243,0.0003860315],"study_design_scores_gemma":[0.0008646807,0.0003022947,0.009068311,0.0001426285,0.00005136846,0.000917886,0.001483673,0.000006834363,0.9853535,0.0003503089,0.001236012,0.0002225441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946495,0.001173395,0.00003642425,0.003499161,0.0003895894,0.0001683512,0.00002146348,0.00001578247,0.00004630825],"genre_scores_gemma":[0.9958432,0.0004270488,0.001736488,0.00149358,0.0004573694,0.000002686622,0.000002947322,0.00002369233,0.00001294459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01067319,"threshold_uncertainty_score":0.5351676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306786690081925,"score_gpt":0.2269573152796472,"score_spread":0.213889448378828,"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."}}