{"id":"W3024840461","doi":"10.1149/ma2020-01512781mtgabs","title":"Nanoporous Copper from Electrochemical Dealloying of Brass","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nanoporous; Materials science; Electrochemistry; Copper; Catalysis; Nanomaterial-based catalyst; Electrolyte; Chemical engineering; Dissolution; Alloy; Inorganic chemistry; Corrosion; Rhenium; Electrocatalyst; Metal; Metallurgy; Nanotechnology; Electrode; Chemistry; Physical chemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302351,0.000340324,0.0002705067,0.000395697,0.0002318782,0.0002547777,0.000422964,0.000288307,0.001292278],"category_scores_gemma":[0.0002797735,0.0002152768,0.0002102615,0.0002292467,0.0002215332,0.000437798,0.0004642144,0.0004084833,0.0005020971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555994,"about_ca_system_score_gemma":0.0001523824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000974905,"about_ca_topic_score_gemma":0.003532368,"domain_scores_codex":[0.9997899,0.00001201556,0.00001404285,0.0000435258,0.00009521063,0.00004527686],"domain_scores_gemma":[0.9998952,0.0000161688,0.00003413711,0.0000168814,0.00002299771,0.00001465524],"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":[0.00002492035,0.00000503983,0.00007232416,0.0001331136,0.000006512304,0.00009977764,0.00003761106,0.0001175241,0.9950922,0.0001413234,0.0002086046,0.004061071],"study_design_scores_gemma":[0.000003305005,0.00004431471,0.0005368261,0.000006578312,0.000006175575,0.0001250676,0.0000156148,0.0005510609,0.9946594,0.00003325285,0.004012784,0.000005530821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524924,0.01008295,0.02067408,0.0003875233,0.0001786717,0.0001427914,0.0007826298,0.000898401,0.01436062],"genre_scores_gemma":[0.9783644,0.00285088,0.01171188,0.0001295073,0.00003804081,0.00005009993,0.0004844215,0.00007867242,0.006292153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001292278,"threshold_uncertainty_score":0.004323125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768792833626403,"score_gpt":0.2341526055550138,"score_spread":0.2164646772187497,"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."}}