{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007076003,0.00006200935,0.0000902919,0.0000587966,0.0001531374,0.00003364563,0.0002728742,0.000006647218,0.00005685135],"category_scores_gemma":[0.0000055361,0.00005184521,0.00003987526,0.0009309674,0.0002869028,0.0002243986,0.00004960389,0.00003455122,0.00004775943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003328575,"about_ca_system_score_gemma":0.00003201782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000136126,"about_ca_topic_score_gemma":6.267187e-7,"domain_scores_codex":[0.9993345,0.000003844164,0.0001051128,0.000187764,0.0001626378,0.0002061361],"domain_scores_gemma":[0.9996613,0.00004922903,0.00004901437,0.0001321774,0.00006400845,0.00004429229],"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":[0.000005495066,0.00003060426,0.001459471,0.000004185049,0.000003483184,1.181755e-7,0.00008030424,0.0002217043,0.9701565,0.006599317,0.00001346251,0.02142536],"study_design_scores_gemma":[0.0002096811,0.0000276013,0.0004829591,0.00000997938,0.000005300111,1.427368e-7,0.0002988995,0.001762234,0.9820831,0.00978221,0.00522317,0.0001147315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965732,0.0000276391,0.0004279427,0.00004620021,0.00007117738,0.00008556053,0.0000162902,0.0000384248,0.002713559],"genre_scores_gemma":[0.9988747,0.000002288602,0.0009593662,0.000009784376,0.00009173637,0.00001406929,0.000008363873,0.000004892171,0.00003483066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131063,"threshold_uncertainty_score":0.2114186,"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."}}