{"id":"W3184288622","doi":"","title":"Electroactive Light Metal Nanostructures for Corrosion Protection and Electrochemical Energy Storage","year":2020,"lang":"en","type":"article","venue":"OakTrust (Texas A&M University Libraries)","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Light Source; National Science Foundation","keywords":"Corrosion; Electrochemical energy storage; Electrochemistry; Energy storage; Materials science; Electrochemical energy conversion; Nanostructure; Metallurgy; Nanotechnology; Chemistry; Electrode; Supercapacitor; Power (physics); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100854,0.0002172381,0.0001555795,0.0001268818,0.0001586743,0.0003299234,0.0003856909,0.000405777,0.001527383],"category_scores_gemma":[0.0001577836,0.0001344117,0.0001415766,0.00009424524,0.0001673364,0.0003518771,0.0003046502,0.0003623594,0.0005951614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657653,"about_ca_system_score_gemma":0.0001126543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000378403,"about_ca_topic_score_gemma":0.0009484518,"domain_scores_codex":[0.9999202,0.000007877748,0.000004579219,0.00002112863,0.00003414551,0.00001207544],"domain_scores_gemma":[0.9999561,0.00001004835,0.00001150677,0.000007457761,0.00001005274,0.000004821208],"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":[0.00002496239,0.00001959313,0.00006707939,0.000122336,0.000002899597,0.0000504719,0.00003113902,0.0002987917,0.9902391,0.002379301,0.0004072454,0.00635699],"study_design_scores_gemma":[0.000006621178,0.00007757699,0.0002540779,0.00001307612,0.000004025119,0.00009251693,0.00001715596,0.004222352,0.9825732,0.0004072399,0.01232488,0.000007291156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8382459,0.02115745,0.08598752,0.001609638,0.0004509806,0.0002121016,0.0008463899,0.001391226,0.05009881],"genre_scores_gemma":[0.9616051,0.003966772,0.02530042,0.0002449386,0.00003746446,0.00009005838,0.0001993862,0.00006712776,0.008488764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001527383,"threshold_uncertainty_score":0.005109549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006884815490017293,"score_gpt":0.1444958869103487,"score_spread":0.1376110714203314,"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."}}