{"id":"W4250923585","doi":"10.1149/ma2017-01/5/298","title":"Tuning the Carbon Crystallinity for Highly Stable Li-O<sub>2</sub> Batteries","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Crystallinity; Materials science; Cathode; Electrolyte; Battery (electricity); Carbon fibers; Electrochemistry; Chemical engineering; Energy storage; Overpotential; Nanotechnology; Electrode; Chemistry; Composite material; Electrical engineering; Engineering","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":[0.0001636841,0.0004804632,0.0002048803,0.0002850501,0.0001958266,0.0003973548,0.0002546245,0.0004296831,0.001137282],"category_scores_gemma":[0.0004487986,0.0001909728,0.0001086753,0.0002669267,0.0004121485,0.0003699481,0.0002097173,0.0004653847,0.000335067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296746,"about_ca_system_score_gemma":0.0001794735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003436291,"about_ca_topic_score_gemma":0.001490933,"domain_scores_codex":[0.9998651,0.00001375033,0.00001423571,0.00002778967,0.00006006629,0.0000191761],"domain_scores_gemma":[0.9998118,0.00006789301,0.00004090801,0.00001645313,0.0000429641,0.00002002491],"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":[0.00004857947,0.0000138196,0.0001852586,0.00005944179,0.000003073595,0.00003526075,0.00002056607,0.0004204451,0.9970524,0.0001523458,0.00006752237,0.001941223],"study_design_scores_gemma":[0.000006504205,0.00006665943,0.001129162,0.000004125865,0.000004633563,0.00004634882,0.00001575837,0.002064384,0.995549,0.00006968521,0.001039082,0.000004611178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845144,0.002074349,0.008051189,0.0001613349,0.00006224692,0.0000663582,0.0002645223,0.000271878,0.004533903],"genre_scores_gemma":[0.991814,0.0009517268,0.006253365,0.00005935848,0.00002037139,0.00002992473,0.000132192,0.00009190851,0.0006471751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001137282,"threshold_uncertainty_score":0.003804624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215272983578893,"score_gpt":0.247868597959877,"score_spread":0.2257158681240881,"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."}}