{"id":"W3207169426","doi":"10.1039/d1cc04731k","title":"Low temperature induced highly stable Zn metal anodes for aqueous zinc-ion batteries","year":2021,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced battery technologies research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Natural Science Foundation of Guangxi Province; Canada Foundation for Innovation","keywords":"Anode; Zinc; Galvanic anode; Metal; Aqueous solution; Stripping (fiber); Corrosion; Electrolyte; Materials science; Plating (geology); Electrochemistry; Inorganic chemistry; Metallurgy; Chemistry; Cathodic protection; Electrode; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008656162,0.000278241,0.0001461417,0.0001743655,0.0001786642,0.0004288067,0.0002946544,0.0002315347,0.001253468],"category_scores_gemma":[0.0002097025,0.0002087006,0.00009800879,0.0001457091,0.0001781942,0.0002753293,0.0002433618,0.0002873139,0.0006803955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930114,"about_ca_system_score_gemma":0.0001524749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004962797,"about_ca_topic_score_gemma":0.00161686,"domain_scores_codex":[0.9999028,0.000006435243,0.000007764997,0.00001933599,0.00004644174,0.00001719726],"domain_scores_gemma":[0.9999578,0.00000437576,0.00001000972,0.000003475361,0.00001763913,0.000006661785],"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":[0.00005547688,0.000009323874,0.0000674906,0.00006885811,0.000003017691,0.00004398903,0.00002435415,0.0001259916,0.9971043,0.0002613451,0.0001363896,0.002099413],"study_design_scores_gemma":[0.000004488564,0.0000279033,0.0001509518,0.000001809346,0.000002100981,0.00003355346,0.000005634685,0.0004258348,0.998173,0.00002344297,0.001148871,0.000002320075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749967,0.002593172,0.01500665,0.0002183138,0.0002369008,0.00006785554,0.0006002848,0.0005134802,0.005766599],"genre_scores_gemma":[0.9902461,0.0009407375,0.003421939,0.00002304573,0.00001715356,0.00001724964,0.0002828372,0.00006384484,0.004987224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001253468,"threshold_uncertainty_score":0.004193246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612538709734299,"score_gpt":0.2967178749233985,"score_spread":0.2605924878260555,"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."}}