{"id":"W2332658667","doi":"10.1021/acs.nanolett.5b00326","title":"New Lithium Metal Polymer Solid State Battery for an Ultrahigh Energy: Nano C-LiFePO<sub>4</sub> versus Nano Li<sub>1.2</sub>V<sub>3</sub>O<sub>8</sub>","year":2015,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Materials science; Vanadium; Nano-; Lithium (medication); Electrolyte; Dissolution; Electrochemistry; Battery (electricity); Lithium iron phosphate; Electrode; Lithium battery; Chemical engineering; Metal; Polymer; Nanoparticle; Lithium vanadium phosphate battery; Nanotechnology; Chemistry; Physical chemistry; Metallurgy; Ion; Composite material; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0011682,0.00255869,0.002328847,0.00108675,0.0005699059,0.0007255683,0.001807529,0.0009302387,0.00005060949],"category_scores_gemma":[0.0002281266,0.002831119,0.000733682,0.001064728,0.0004685656,0.002918264,0.0005167684,0.0008010158,0.0007601739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426875,"about_ca_system_score_gemma":0.0004601002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007485288,"about_ca_topic_score_gemma":0.0001476372,"domain_scores_codex":[0.9884819,0.0005623969,0.002634594,0.002521454,0.001982053,0.003817631],"domain_scores_gemma":[0.9939751,0.0006172981,0.0008859914,0.00257166,0.0003652553,0.001584673],"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":[0.001084285,0.0002253168,0.0000606098,0.0002886871,0.0009661107,0.0001523322,0.0007798504,0.008959783,0.9134185,0.00005714717,0.05786486,0.01614256],"study_design_scores_gemma":[0.006478733,0.000707961,0.0001169338,0.0002986403,0.0005757628,0.0001000373,0.0001331924,0.0003102646,0.9790245,0.0001786071,0.008966614,0.003108701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522006,0.0007400103,0.02569546,0.001327905,0.01586127,0.001505805,0.00081346,0.001682815,0.0001726969],"genre_scores_gemma":[0.9850825,0.0004386452,0.001364122,0.006588692,0.003600589,0.0007199833,0.0009432932,0.001181461,0.00008070383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06560609,"threshold_uncertainty_score":0.9987149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134954314465842,"score_gpt":0.2435108115908376,"score_spread":0.2221612684461792,"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."}}