{"id":"W2321135336","doi":"10.1021/nl503490h","title":"Toward Practical Application of Functional Conductive Polymer Binder for a High-Energy Lithium-Ion Battery Design","year":2014,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Lawrence Berkeley National Laboratory; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy","keywords":"Faraday efficiency; Anode; Materials science; Gravimetric analysis; Lithium (medication); Silicon monoxide; Electrical conductor; Battery (electricity); Silicon; Current collector; Chemical engineering; Polymer; Lithium-ion battery; Electrode; Composite material; Chemistry; Electrolyte; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001844269,0.0001531766,0.0001970589,0.0000855465,0.0000342617,0.00001606314,0.00007905216,0.00008238605,0.00007197421],"category_scores_gemma":[0.00003793112,0.0001530138,0.0000316862,0.00007382382,0.00005637671,0.0002342933,0.0000192554,0.00004751339,0.00002010606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007560047,"about_ca_system_score_gemma":0.00001046642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009353106,"about_ca_topic_score_gemma":2.377858e-7,"domain_scores_codex":[0.9990713,0.00006069604,0.0002705966,0.000216857,0.0001730192,0.0002075534],"domain_scores_gemma":[0.9993597,0.0002636373,0.00008976509,0.0002051065,0.00004652813,0.0000352639],"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":[0.00008106619,0.00002379358,0.0000196407,0.00004872855,0.00004489283,2.884123e-7,0.00003839168,0.0072302,0.9738863,0.00619967,0.01164865,0.0007783885],"study_design_scores_gemma":[0.0006923688,0.00006666408,0.0002147994,0.00001555317,0.00003937142,0.00000699847,0.00001421545,0.001297202,0.9923322,0.001530351,0.003568351,0.0002219288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04779513,0.0000153729,0.9490209,0.001847765,0.0009365564,0.0002282517,0.00001612256,0.00009252672,0.0000474441],"genre_scores_gemma":[0.9780639,0.000001981634,0.01896733,0.002190714,0.0003374547,0.00029214,0.00005340832,0.00004579755,0.00004728808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9302688,"threshold_uncertainty_score":0.6239722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324992139898691,"score_gpt":0.2491658166541402,"score_spread":0.2166666026642711,"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."}}