{"id":"W2601263031","doi":"10.1149/ma2009-01/9/433","title":"Nano Materials for Li-ion Polymer-Ionic Liquid Batteries","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Ionic liquid; Nano-; Ion; Materials science; Polymer; Ionic bonding; Chemical engineering; Nanotechnology; Composite material; Chemistry; Organic chemistry; Engineering; Catalysis","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":[0.0002172433,0.0003040725,0.0002929351,0.0004671864,0.0003164004,0.0006354818,0.0003850066,0.0005787903,0.015133],"category_scores_gemma":[0.0002617362,0.000205162,0.0002402154,0.0002036781,0.0001449977,0.001011417,0.0003396641,0.0004425137,0.003563142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723712,"about_ca_system_score_gemma":0.0002833669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002079235,"about_ca_topic_score_gemma":0.0007815195,"domain_scores_codex":[0.9999115,0.00001289497,0.000007398413,0.00001278449,0.00004392434,0.00001152273],"domain_scores_gemma":[0.9999369,0.0000211538,0.000007091164,0.000005894012,0.0000199727,0.000008905923],"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":[0.00045626,0.0002700829,0.000231244,0.001772307,0.00003622831,0.0001853456,0.00005501171,0.00129098,0.8822159,0.02177748,0.01512887,0.07658037],"study_design_scores_gemma":[0.0001305472,0.0006042612,0.0004916236,0.0001588368,0.00006532403,0.0002359583,0.00008360323,0.006332035,0.840305,0.007987503,0.1435795,0.00002583119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4667369,0.1359742,0.1211194,0.01271361,0.007418863,0.001084055,0.003759625,0.003520968,0.2476724],"genre_scores_gemma":[0.8108237,0.03480453,0.05035056,0.001744488,0.0006752563,0.0008854542,0.00150771,0.0004244038,0.09878393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.015133,"threshold_uncertainty_score":0.05062491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415305614470921,"score_gpt":0.2520099932819679,"score_spread":0.2378569371372587,"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."}}