{"id":"W4283798091","doi":"10.1016/j.isci.2022.104711","title":"A rechargeable Mg|O2 battery","year":2022,"lang":"en","type":"article","venue":"iScience","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Electrochemistry; Anode; Battery (electricity); Electrolyte; Cathode; Energy storage; Energy density; Alkali metal; Materials science; Chemical engineering; Nanotechnology; Chemistry; Electrode; Engineering physics; Engineering; Physics","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":[0.0001068678,0.0003507618,0.0001674827,0.0002137671,0.0003414828,0.0004886954,0.0006582083,0.0004393692,0.004101579],"category_scores_gemma":[0.0001430955,0.0001129498,0.0001307437,0.0002017911,0.0001211553,0.0008659802,0.0004795239,0.00031922,0.001467575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335748,"about_ca_system_score_gemma":0.0002266949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006766562,"about_ca_topic_score_gemma":0.001619899,"domain_scores_codex":[0.9998895,0.000008876545,0.000006761071,0.00002387021,0.00004953589,0.00002132496],"domain_scores_gemma":[0.999979,0.000002001907,0.000003292315,0.000004039176,0.000005857008,0.000005804964],"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":[0.0003298472,0.00009777791,0.0004099197,0.0004867221,0.00002219662,0.0005120358,0.00004932389,0.0004856133,0.9371966,0.008404044,0.007551521,0.0444544],"study_design_scores_gemma":[0.00009962128,0.0005418529,0.001164796,0.00003052392,0.00002981937,0.0007747383,0.00006331215,0.003610961,0.8158163,0.002010316,0.1758313,0.00002633486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7895227,0.01768366,0.02387942,0.0035296,0.002494102,0.0002946705,0.002601127,0.002189425,0.1578053],"genre_scores_gemma":[0.947786,0.004885818,0.006988531,0.0003719404,0.0001965418,0.0000748303,0.0009320072,0.0000944132,0.0386699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004101579,"threshold_uncertainty_score":0.01372111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968663563506594,"score_gpt":0.241671361693997,"score_spread":0.221984726058931,"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."}}