{"id":"W4386867042","doi":"10.1149/ma2023-0161046mtgabs","title":"Cycling Efficiency Improvement of Solid-State Batteries-Laser Textured Interfaces","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Materials science; Electrolyte; Cathode; Ceramic; Flammable liquid; Electrochemistry; Nanotechnology; Electrode; Composite material; Electrical engineering; Waste management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001026762,0.0002246099,0.000219626,0.0002707529,0.0001282254,0.0003862944,0.0003456851,0.0003092687,0.001789042],"category_scores_gemma":[0.0003259326,0.0001187429,0.0001381998,0.0002885253,0.00008420632,0.0004182325,0.00018845,0.000205466,0.0004277629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313145,"about_ca_system_score_gemma":0.00009883517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000522728,"about_ca_topic_score_gemma":0.001149232,"domain_scores_codex":[0.9998939,0.000005329276,0.000009737879,0.0000251976,0.00004336041,0.00002238274],"domain_scores_gemma":[0.9999042,0.00001690197,0.00001653538,0.00001105585,0.00004258423,0.00000878467],"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":[0.0001019925,0.00002243854,0.0002292136,0.00006539014,0.000003738352,0.00003270382,0.00002249423,0.0002589135,0.9899775,0.00006591238,0.00009523624,0.009124387],"study_design_scores_gemma":[0.000004735742,0.00007306003,0.0006135775,0.000002078841,0.000004814505,0.00002079522,0.00001231416,0.002081674,0.9964302,0.00001318993,0.000740835,0.000002682536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992272,0.001190558,0.004069055,0.00004755073,0.00005118344,0.00001490067,0.0001654071,0.0002480364,0.001941234],"genre_scores_gemma":[0.9944154,0.0004446087,0.002942937,0.00002536306,0.000007142235,0.00001855845,0.0001035231,0.00003805581,0.002004442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001789042,"threshold_uncertainty_score":0.005984902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134298687439109,"score_gpt":0.2425332087392239,"score_spread":0.2311902218648328,"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."}}