{"id":"W3020822687","doi":"10.1002/batt.202000054","title":"Compositional Effects of Gel Polymer Electrolyte and Battery Design for Zinc‐Air Batteries","year":2020,"lang":"en","type":"article","venue":"Batteries & Supercaps","topic":"Advanced battery technologies research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrolyte; Battery (electricity); Zinc; Materials science; Chemical engineering; Polymer; Acrylic acid; Polymerization; Monomer; Electrode; Inorganic chemistry; Chemistry; Composite material; Metallurgy","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":[0.00007651758,0.0003401425,0.0004722499,0.0001321105,0.0001162724,0.00004953862,0.0003348294,0.0001464808,0.00009123865],"category_scores_gemma":[0.00008680469,0.0003458682,0.00008613723,0.0002038034,0.0003865798,0.00039895,0.0001696194,0.0002553343,0.00001858598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005025245,"about_ca_system_score_gemma":0.00002562029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003437013,"about_ca_topic_score_gemma":0.000001048975,"domain_scores_codex":[0.9983966,0.00005158472,0.0003512112,0.0003782831,0.000243698,0.0005786625],"domain_scores_gemma":[0.9988919,0.0005974408,0.00003250037,0.0002852128,0.00006326208,0.0001296973],"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":[0.0001837087,0.00002434012,0.0005882405,0.0009739606,0.000111243,0.0000167555,0.0003527843,0.0003713994,0.9878821,0.0002472113,0.005912078,0.003336159],"study_design_scores_gemma":[0.0008451322,0.0006122203,0.001849102,0.00007291038,0.00003433309,0.00003098805,0.0001532839,0.002276876,0.9903328,0.0003424562,0.003024994,0.0004249495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7836477,0.001647536,0.2088298,0.004075282,0.0001545129,0.0007944589,0.0001379439,0.0006343245,0.0000785313],"genre_scores_gemma":[0.9888772,0.0001834456,0.009113325,0.001214454,0.00011866,0.0003075052,0.00005310538,0.00009779999,0.00003446274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052296,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497021827529634,"score_gpt":0.2307221149537228,"score_spread":0.2157518966784265,"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."}}