{"id":"W3111423678","doi":"10.1002/macp.202000389","title":"Solid Polymer Electrolytes from Copolymers Based on Vinyl Dimethyl Phosphonate and Vinylidene Fluoride","year":2020,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conseil National de la Recherche Scientifique; China Scholarship Council; Centre National de la Recherche Scientifique; Innoviris; Université de Montpellier; Agence Universitaire de la Francophonie; Université Catholique de Louvain","keywords":"Copolymer; Ionic conductivity; Phosphonate; Polymer chemistry; Electrolyte; Polymer; Materials science; Ionic bonding; Lithium (medication); Fluoride; Conductivity; Chemistry; Inorganic chemistry; Organic chemistry; Composite material; Ion; Physical chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002478735,0.0006932866,0.0003493716,0.0004920125,0.0001857824,0.0004219814,0.0002588397,0.000393585,0.001373832],"category_scores_gemma":[0.0004045033,0.0002039998,0.0002539265,0.0004200229,0.0002101941,0.000528319,0.0002803571,0.0004717442,0.0004225344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745049,"about_ca_system_score_gemma":0.00026806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002552012,"about_ca_topic_score_gemma":0.0005676434,"domain_scores_codex":[0.9997581,0.00003037069,0.00003413939,0.00005095731,0.00007661697,0.00004993569],"domain_scores_gemma":[0.999733,0.00006354349,0.00008838089,0.00001413421,0.00004864008,0.00005226795],"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":[0.0001206703,0.00001660689,0.00006772953,0.0001221593,0.00001046571,0.00004632225,0.00001025665,0.0001018387,0.9976367,0.0001693393,0.00003360077,0.001664358],"study_design_scores_gemma":[0.00001536959,0.0000805212,0.0002259731,0.000008781654,0.000009486525,0.0000347975,0.000005052768,0.0003051692,0.9980559,0.00003369998,0.001223196,0.000002049512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797024,0.003875838,0.01172103,0.0001166634,0.0001937583,0.00008771147,0.0006194672,0.0003528982,0.003330287],"genre_scores_gemma":[0.9813704,0.002835849,0.0115075,0.00004819005,0.00003612291,0.00008094116,0.0007432095,0.0000880413,0.003289733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001373832,"threshold_uncertainty_score":0.004595935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00429222826487,"score_gpt":0.1963765414641015,"score_spread":0.1920843131992315,"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."}}