{"id":"W2943535768","doi":"10.1002/anie.201814222","title":"Boosting Solid‐State Diffusivity and Conductivity in Lithium Superionic Argyrodites by Halide Substitution","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":645,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; BASF","keywords":"Ionic conductivity; Fast ion conductor; Halide; Materials science; Dielectric spectroscopy; Thermal diffusivity; Solid solution; Conductivity; Lithium (medication); Electrolyte; Inorganic chemistry; Analytical Chemistry (journal); Chemistry; Physical chemistry; Electrochemistry; Thermodynamics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001109597,0.0001724798,0.0001000632,0.0001609663,0.00006276554,0.0002697493,0.0001754031,0.0001326752,0.0006718046],"category_scores_gemma":[0.0001899538,0.0001238771,0.00007750461,0.00007653967,0.0001857048,0.0002829164,0.0001928662,0.0001713391,0.0001689331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117056,"about_ca_system_score_gemma":0.0001176753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002237357,"about_ca_topic_score_gemma":0.0004540391,"domain_scores_codex":[0.9999511,0.000009413196,0.000004572024,0.000009918357,0.00001582861,0.000009118938],"domain_scores_gemma":[0.9999093,0.00002262726,0.00003195414,0.000008303174,0.00001450727,0.00001329742],"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":[0.00004926254,0.000005731149,0.0001671063,0.00001757014,0.000001985737,0.00002777632,0.00001186522,0.0001931902,0.9984066,0.000131483,0.00001589731,0.000971515],"study_design_scores_gemma":[0.0000102189,0.00006806503,0.0004047452,0.000001723199,0.000003004115,0.00003171476,0.000009057845,0.002453978,0.9964455,0.00003569903,0.0005339822,0.000002385936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983084,0.0001443848,0.001019887,0.00002023497,0.000002782955,0.00000299877,0.0000173838,0.00003418342,0.0004497338],"genre_scores_gemma":[0.9982837,0.00007333513,0.001006066,0.00000614652,0.00000141904,0.000004242213,0.00002576904,0.00001024457,0.0005889528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006718046,"threshold_uncertainty_score":0.002247393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006988379688652444,"score_gpt":0.2197988031755711,"score_spread":0.2128104234869186,"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."}}