{"id":"W4388507740","doi":"10.1126/sciadv.adg8634","title":"Simultaneous multimaterial operando tomography of electrochemical devices","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Characterization (materials science); Tomography; Computer science; Materials science; Modality (human–computer interaction); Nanotechnology; Biological system; Artificial intelligence; Physics; Optics","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":[0.0003080651,0.0003629935,0.0002524771,0.0004284967,0.0001636086,0.0005012479,0.0004491082,0.0004533205,0.001094498],"category_scores_gemma":[0.0005928594,0.0002266394,0.0001748382,0.0002702668,0.000427545,0.0007108224,0.0007850018,0.0006267731,0.0001971767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003611913,"about_ca_system_score_gemma":0.0002127934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002487506,"about_ca_topic_score_gemma":0.0005655834,"domain_scores_codex":[0.9997979,0.00002871695,0.00001008787,0.00005499357,0.00008506109,0.00002319894],"domain_scores_gemma":[0.9997272,0.00009439966,0.00005740111,0.00004927137,0.00004469227,0.00002698144],"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":[0.00005449797,0.00001430707,0.0004155414,0.00003270304,0.000006749111,0.00005011514,0.00003165105,0.0005864473,0.9937071,0.0006062452,0.00007982451,0.004414774],"study_design_scores_gemma":[0.00000773311,0.00004263839,0.001287981,0.00000731819,0.000009466684,0.0001824209,0.00003996821,0.01984196,0.9771408,0.0003350972,0.001091981,0.00001273429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.816487,0.0009288896,0.1763605,0.0004071497,0.00007503973,0.00006454724,0.0003418853,0.0006278601,0.004707224],"genre_scores_gemma":[0.8910974,0.0003913248,0.1064218,0.0001104035,0.0000263091,0.00005917956,0.0001623342,0.00008197749,0.001649314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001094498,"threshold_uncertainty_score":0.003661454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005144762143468116,"score_gpt":0.2760769168229408,"score_spread":0.2709321546794727,"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."}}