{"id":"W4229855741","doi":"10.1149/ma2019-02/40/1858","title":"Investigating Phase and Electrical Properties of Calcium-Doped Yttrium Iron Garnet","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Yttrium; Materials science; Analytical Chemistry (journal); Ionic conductivity; Yttrium iron garnet; Electrical resistivity and conductivity; Oxide; Ionic bonding; Doping; Phase (matter); Stoichiometry; Diffractometer; Inorganic chemistry; Mineralogy; Ion; Chemistry; Physical chemistry; Metallurgy; Condensed matter physics; Electrode; Scanning electron microscope; Electrolyte","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":[0.000201277,0.0001406333,0.00019754,0.00004280771,0.00004944102,0.00003538956,0.0001003751,0.00007849357,0.0000300124],"category_scores_gemma":[0.0001825858,0.0001197708,0.00002861574,0.000116831,0.000061129,0.00007688125,0.0000349626,0.0002255885,0.00004657991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001991284,"about_ca_system_score_gemma":0.00001854615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008937407,"about_ca_topic_score_gemma":0.000001636068,"domain_scores_codex":[0.9990276,0.00001650854,0.0003607208,0.0001793456,0.0001480195,0.0002678014],"domain_scores_gemma":[0.9995334,0.00006962984,0.00006280992,0.0001729526,0.0000389229,0.0001223102],"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":[0.000006432059,0.00004192536,0.0004142414,0.0002820711,0.00000926031,6.437427e-7,0.0001984506,0.02814621,0.9693255,0.0000614321,0.0002345584,0.001279214],"study_design_scores_gemma":[0.0007355112,0.0001462557,0.001997641,0.0002067566,0.00002700796,0.000007048912,0.00009438369,0.1651733,0.8271614,0.0000668758,0.004081319,0.0003025331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953697,0.0007820639,0.00000715677,0.00009417686,0.00005590486,0.0002292694,0.000003227528,0.0001373765,0.04499387],"genre_scores_gemma":[0.9985377,0.0000225004,0.0009702052,0.00003463666,0.00007127641,0.00001583662,0.000004226192,0.00002845201,0.0003151589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421642,"threshold_uncertainty_score":0.4884113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333725562150308,"score_gpt":0.2324928420600064,"score_spread":0.2091555864385034,"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."}}