{"id":"W2805631602","doi":"10.1002/aenm.201800348","title":"Fundamental Understanding and Material Challenges in Rechargeable Nonaqueous Li–O<sub>2</sub> Batteries: Recent Progress and Perspective","year":2018,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Office of Science; University of Chicago","keywords":"Battery (electricity); Materials science; Electrolyte; Electrocatalyst; Energy storage; Cathode; Nanotechnology; Commercialization; Electrochemistry; Engineering physics; Electrode; Chemistry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002565923,0.0004315476,0.0005420845,0.0001799083,0.0001335447,0.0001724522,0.0001356501,0.0001533973,0.0002455026],"category_scores_gemma":[0.00002171946,0.0004551295,0.00001329088,0.0001130694,0.0003227149,0.0006183941,0.0001862812,0.00006361252,0.00001257398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005445688,"about_ca_system_score_gemma":0.00001397913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217917,"about_ca_topic_score_gemma":0.00006656937,"domain_scores_codex":[0.9979929,0.0001077273,0.0005045408,0.0005982785,0.0001776464,0.0006188507],"domain_scores_gemma":[0.9993951,0.0000479204,0.0001118902,0.0002868128,0.00005314375,0.0001051528],"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":[0.0003453145,0.00003742869,0.00002212631,0.0001715919,0.0000524604,0.00002742147,0.0009876301,0.00009443276,0.9858831,0.006383962,0.00006475868,0.005929783],"study_design_scores_gemma":[0.0009789034,0.0002607412,0.0001569074,0.0002347345,0.00001551046,0.00006608287,0.001633522,0.00002648605,0.9816397,0.01195192,0.002466821,0.000568672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936377,0.001472651,0.0004416418,0.0002700287,0.002669252,0.0003202319,0.000139783,0.0003061212,0.0007425247],"genre_scores_gemma":[0.983124,0.01479711,0.001207822,0.0001114174,0.0003915623,0.0002016519,0.00003430974,0.0001168047,0.00001532298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332446,"threshold_uncertainty_score":0.9997901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308919288984144,"score_gpt":0.2533632854664392,"score_spread":0.2202740925765977,"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."}}