{"id":"W3191515642","doi":"10.1017/s1551929521000869","title":"An Application of Electron Energy Loss Spectroscopy to a Cycled Nickel Positive Electrode of a Nickel Metal Hydride Battery","year":2021,"lang":"en","type":"article","venue":"Microscopy Today","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Natural Resources Canada","funders":"National Research Council Canada","keywords":"Nickel; Hydride; Battery (electricity); Metal; Electron; Materials science; Electron energy loss spectroscopy; Electrode; Spectroscopy; Inorganic chemistry; Chemistry; Metallurgy; Physical chemistry; Nanotechnology; Physics; Thermodynamics; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004449743,0.0003043858,0.0007105143,0.0001407474,0.00009341509,0.00006160224,0.0004519627,0.0001419334,0.0002686572],"category_scores_gemma":[0.00004158255,0.0003081542,0.0001437254,0.0004126027,0.0001139489,0.000258648,0.0001236567,0.0000904081,0.0001011553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340517,"about_ca_system_score_gemma":0.0002582758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008027712,"about_ca_topic_score_gemma":0.0002318986,"domain_scores_codex":[0.9973164,0.0003007514,0.0006975752,0.0007271396,0.0003278519,0.0006303002],"domain_scores_gemma":[0.9983731,0.00006047673,0.0003326534,0.0008097977,0.0002439916,0.0001799633],"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":[0.000294105,0.0003565333,0.00008963078,0.00004168654,0.00004001429,0.00001822292,0.0003580897,0.00007630866,0.9977046,0.0007264092,0.0002098942,0.00008451949],"study_design_scores_gemma":[0.0004207388,0.0005641766,0.000119287,0.00004013785,0.0000753518,0.00004304809,0.00003511733,0.00004114971,0.9972382,0.0004020477,0.0007309752,0.0002898168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668088,0.0003049925,0.03183646,0.0001616263,0.0002046829,0.0002589255,0.0002114158,0.00005705048,0.000156056],"genre_scores_gemma":[0.9897305,0.00003957649,0.009083512,0.0004946576,0.0001383834,0.00008148419,0.0001443715,0.00005239075,0.0002350774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292175,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004441401261463247,"score_gpt":0.2676574429391713,"score_spread":0.263216041677708,"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."}}