{"id":"W2605906261","doi":"10.1021/acsami.7b02336","title":"Three-Dimensional Arylene Diimide Frameworks for Highly Stable Lithium Ion Batteries","year":2017,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Connaught Fund; University of Toronto","keywords":"Materials science; Diimide; Battery (electricity); Cathode; Arylene; Triptycene; Perylene; Lithium (medication); Organic radical battery; Energy storage; Faraday efficiency; Metal-organic framework; Nanotechnology; Ion; Electrochemistry; Electrode; Chemical engineering; Adsorption; Organic chemistry; Molecule; Electrical engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00037084,0.0004754168,0.0006316712,0.00007171775,0.0004486625,0.0008082946,0.0007819009,0.0003506153,0.0007206705],"category_scores_gemma":[0.00005912941,0.0004490596,0.00001808089,0.00002473114,0.0001828787,0.0005530425,0.000400934,0.000173642,0.0002066006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008012291,"about_ca_system_score_gemma":0.00001476315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003737575,"about_ca_topic_score_gemma":0.00002203722,"domain_scores_codex":[0.9979706,0.00001454506,0.000653838,0.0004900623,0.0002395073,0.0006313791],"domain_scores_gemma":[0.9984492,0.0001228158,0.0002865308,0.001008515,0.0000673223,0.00006563224],"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":[0.0002663364,0.00002845245,0.00001895366,0.0002530036,0.0000949564,0.000002242504,0.00008533802,0.001570222,0.9887537,0.001322033,0.006902503,0.0007022963],"study_design_scores_gemma":[0.0005568103,0.00005983178,0.0002932609,0.0001585245,0.00004085328,0.00000313695,0.00002603186,0.00001123231,0.9832552,0.01324044,0.001861479,0.000493169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871685,0.0001152785,0.004223548,0.0003394157,0.005806165,0.0008277927,0.0004947537,0.0004282278,0.0005963112],"genre_scores_gemma":[0.9904174,0.00003560837,0.0075169,0.0002503575,0.0007376453,0.0006114803,0.0001036157,0.0001454956,0.0001814595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0119184,"threshold_uncertainty_score":0.9997961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164077405164246,"score_gpt":0.2528548315195624,"score_spread":0.2364470910031378,"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."}}