{"id":"W4394890055","doi":"10.1002/aenm.202304025","title":"Comprehensive Dopant Screening in Li<sub>7</sub>La<sub>3</sub>Zr<sub>2</sub>O<sub>12</sub> Garnet Solid Electrolyte","year":2024,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dopant; Materials science; Tetragonal crystal system; Doping; Ionic conductivity; Electrolyte; Conductivity; Valence (chemistry); Dopant Activation; Ionic bonding; Nanotechnology; Chemical engineering; Analytical Chemistry (journal); Crystal structure; Ion; Crystallography; Optoelectronics; Physical chemistry; Electrode","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":[0.0001351306,0.0003252147,0.0003497049,0.0003095802,0.0001997282,0.0004013567,0.0002197337,0.0002607798,0.0007912819],"category_scores_gemma":[0.0001590089,0.0001519471,0.0001419101,0.0002441951,0.0001586392,0.0002813361,0.0002938879,0.0001602124,0.0002562856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242183,"about_ca_system_score_gemma":0.0002023508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007470527,"about_ca_topic_score_gemma":0.003017166,"domain_scores_codex":[0.9999212,0.00000846218,0.000008066526,0.00001854896,0.00002804411,0.00001561816],"domain_scores_gemma":[0.9999369,0.00001233081,0.00001581537,0.000006199066,0.00001989407,0.000008730886],"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":[0.00008609379,0.00001462151,0.0003057636,0.00005603373,0.000005932715,0.0000349466,0.00001650583,0.0003815679,0.995824,0.00006354203,0.00003563052,0.003175414],"study_design_scores_gemma":[0.00000579325,0.0001622972,0.0006948258,0.000004726978,0.00001267791,0.00003545468,0.00001779439,0.0007935636,0.9974787,0.00001852827,0.0007711758,0.000004499293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966241,0.0009094221,0.001064522,0.00004046376,0.000009154815,0.00002058392,0.0002122674,0.00009790527,0.001021464],"genre_scores_gemma":[0.9939913,0.0009140833,0.003587124,0.00001994655,0.000003107856,0.00001877347,0.0002758018,0.000029291,0.001160643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007912819,"threshold_uncertainty_score":0.002647102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007829404873413432,"score_gpt":0.215314413091487,"score_spread":0.2074850082180736,"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."}}