{"id":"W2606363098","doi":"10.1016/j.jpowsour.2017.04.018","title":"Challenges and issues facing lithium metal for solid-state rechargeable batteries","year":2017,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":331,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Lithium metal; Lithium (medication); Electrolyte; Fast ion conductor; Ionic conductivity; Materials science; Solid-state; Nanotechnology; Work (physics); Lithium battery; Electrode; Ionic bonding; Engineering physics; Engineering; Chemistry; Mechanical engineering; Ion","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":[0.0002342996,0.0001301479,0.0003099067,0.00007372918,0.0001563097,0.0001632693,0.0002213091,0.00005784809,0.00001256435],"category_scores_gemma":[0.0001057358,0.0001003939,0.0000550035,0.000007782543,0.00008129621,0.0005405222,0.00006068631,0.0001003275,0.000001874145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009786779,"about_ca_system_score_gemma":0.000003684488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000139522,"about_ca_topic_score_gemma":0.000004075312,"domain_scores_codex":[0.9993868,0.000007553536,0.0002491374,0.00008637231,0.00008379075,0.000186368],"domain_scores_gemma":[0.9994877,0.00003880589,0.0002025217,0.0001790483,0.00005600218,0.00003591044],"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":[0.0003183953,0.00009756473,0.001671038,0.001682628,0.001379486,0.0001548139,0.02097418,0.002694105,0.7486027,0.002005968,0.004936223,0.2154829],"study_design_scores_gemma":[0.0008146284,0.0005354987,0.00556762,0.0003525659,0.00006590806,0.0001731269,0.003186977,0.0001683983,0.7845504,0.02330434,0.1808073,0.0004732089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798036,0.01465853,0.002504971,0.001568645,0.0008547149,0.00006894471,0.00001299364,0.00009074387,0.0004369083],"genre_scores_gemma":[0.9890866,0.006362172,0.004159134,0.00001367959,0.0001324356,0.000003941599,2.286168e-7,0.00002373838,0.0002180132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2150097,"threshold_uncertainty_score":0.4093944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314574108320029,"score_gpt":0.283126921319042,"score_spread":0.2499811802358418,"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."}}