{"id":"W3025139641","doi":"10.1149/ma2020-012257mtgabs","title":"Ester and Carbonate-Based Low Temperature Electrolytes in High Specific Energy and High Power 18650 Li-Ion Cells for Future NASA Missions","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"E-One Moli Energy (Canada)","funders":"","keywords":"Mars Exploration Program; Electrolyte; Materials science; Specific energy; Energy storage; Saturn; Lithium (medication); Work (physics); Range (aeronautics); Environmental science; Astrobiology; Aerospace engineering; Power (physics); Process engineering; Chemical engineering; Mechanical engineering; Planet; Chemistry; Physics; Engineering; Composite material; Electrode; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003663003,0.000402388,0.0002378896,0.0003250396,0.0001866081,0.0006603248,0.000809344,0.0004049794,0.002065701],"category_scores_gemma":[0.0004218698,0.0002004052,0.0002428845,0.0005562315,0.0002360107,0.0008978122,0.0003699885,0.0006067008,0.0009022222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602249,"about_ca_system_score_gemma":0.0003026051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521068,"about_ca_topic_score_gemma":0.004499001,"domain_scores_codex":[0.9998241,0.00001256243,0.0000271372,0.00003308831,0.00007926142,0.00002385026],"domain_scores_gemma":[0.9999166,0.00001185844,0.00002136837,0.00001128745,0.00002244633,0.0000165105],"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":[0.0002095714,0.000111807,0.0006425816,0.0003710066,0.0000114081,0.0001905227,0.00009237122,0.001365128,0.9789873,0.001190715,0.0009272245,0.01590028],"study_design_scores_gemma":[0.00002355507,0.0003689339,0.000990806,0.00002358843,0.00001737032,0.0001659433,0.00002417811,0.001354133,0.9870013,0.00007141897,0.009941041,0.00001776091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636555,0.006581318,0.01292081,0.0003807769,0.0003113151,0.000219068,0.0009374178,0.0005400024,0.01445362],"genre_scores_gemma":[0.9532537,0.006326193,0.02429198,0.0001844288,0.00003923885,0.0001554025,0.00120549,0.0002159788,0.01432763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002065701,"threshold_uncertainty_score":0.006910443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006980252603134115,"score_gpt":0.2072422506586059,"score_spread":0.2002619980554717,"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."}}