{"id":"W2067259749","doi":"10.1016/j.mseb.2010.07.017","title":"Polymer–ionic liquid nano-composites electrolytes: Electrical, thermal and morphological properties","year":2010,"lang":"en","type":"article","venue":"Materials Science and Engineering B","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ionic liquid; Materials science; Thermal stability; Thermogravimetric analysis; Electrolyte; Ionic conductivity; Polymer; Nano-; Chemical engineering; Differential scanning calorimetry; Conductivity; Polymer chemistry; Composite material; Chemistry; Organic chemistry; Physical chemistry; Electrode","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":[0.0001278967,0.0002099271,0.0001352657,0.0002265501,0.0001422027,0.000395456,0.0001534934,0.0002779909,0.001379535],"category_scores_gemma":[0.0003228496,0.0001619446,0.0001278066,0.0002116846,0.0001798984,0.0004801979,0.000145754,0.0003661285,0.0003220528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139209,"about_ca_system_score_gemma":0.0001130605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002592208,"about_ca_topic_score_gemma":0.0005159992,"domain_scores_codex":[0.9999228,0.000007175664,0.000006707412,0.00001763817,0.00003214305,0.0000136106],"domain_scores_gemma":[0.9998217,0.00004364616,0.00003856803,0.00001134464,0.00005338955,0.00003133962],"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":[0.0001514487,0.00002149046,0.0001732343,0.00002969631,0.000004260996,0.00002678676,0.00001821082,0.0001043827,0.9964865,0.000115261,0.0000801295,0.002788581],"study_design_scores_gemma":[0.000004850662,0.00006439872,0.0006481631,0.000002136422,0.000008192173,0.00005078331,0.00001004972,0.0007193712,0.9979665,0.00003036241,0.0004914037,0.000003726765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941736,0.001675156,0.001848074,0.00008060419,0.00004157014,0.000006344098,0.00008744263,0.00007904832,0.002008175],"genre_scores_gemma":[0.995954,0.0004409505,0.0009973677,0.00002143254,0.00001112931,0.000006187112,0.0001273728,0.00002741008,0.0024142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001379535,"threshold_uncertainty_score":0.004615068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007889930266336836,"score_gpt":0.1929848649052762,"score_spread":0.1850949346389394,"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."}}