{"id":"W4391168276","doi":"10.1038/s41893-023-01257-8","title":"Best practices for zinc metal batteries","year":2024,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Advanced battery technologies research","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Zinc; Metal; Metallurgy; Materials science; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.000378555,0.0001820866,0.000178184,0.0001514976,0.00008334262,0.0001270951,0.0003118123,0.0003967668,0.00005414442],"category_scores_gemma":[0.003815354,0.0001583219,0.00009681252,0.0004213784,0.0001666749,0.0005926067,0.000120351,0.001147772,0.00001496995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938267,"about_ca_system_score_gemma":0.0001026885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001012055,"about_ca_topic_score_gemma":0.00002443552,"domain_scores_codex":[0.9987657,0.00002542993,0.0001704987,0.0003646506,0.0002084514,0.0004652606],"domain_scores_gemma":[0.9985939,0.000607127,0.00002358625,0.0004556451,0.0002730081,0.00004671851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002083081,0.0002053508,0.001471718,0.0191573,0.00052517,0.0002955991,0.0006868101,0.004305604,0.008088877,0.04955232,0.03294624,0.8825567],"study_design_scores_gemma":[0.0001258486,0.000118971,0.000218463,0.00002593922,0.00003150537,0.00001481604,0.001824399,0.006683401,0.01243964,0.0538457,0.9243823,0.0002890459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7761163,0.05226192,0.09035756,0.04050942,0.004800175,0.006244544,0.0004374127,0.0138528,0.01541988],"genre_scores_gemma":[0.9948853,0.00006105569,0.002931659,0.00003409509,0.0001417535,0.0002958451,0.00001603084,0.00004760538,0.001586667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.891436,"threshold_uncertainty_score":0.645618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784457017048501,"score_gpt":0.3633954092084025,"score_spread":0.3455508390379174,"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."}}