{"id":"W4380450578","doi":"10.1039/d3lc00190c","title":"Robust fully controlled nanometer liquid layers for high resolution liquid-cell electron microscopy","year":2023,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canada Foundation for Innovation","keywords":"Nanometre; Materials science; Electron microscope; Resolution (logic); Nanotechnology; High resolution; Optoelectronics; Optics; Composite material; Physics; Computer science","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":[0.000194791,0.0002180276,0.0002345437,0.00008413136,0.0001866563,0.0000250202,0.0002139419,0.0001934216,0.00001260482],"category_scores_gemma":[0.0000402095,0.0002070244,0.0001509525,0.000219865,0.00004737498,0.000004450603,0.00005354332,0.0001255743,0.00003822745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004700809,"about_ca_system_score_gemma":0.00006684125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007660067,"about_ca_topic_score_gemma":0.00001348611,"domain_scores_codex":[0.9986095,0.0000380309,0.0002477367,0.0004962044,0.00008733897,0.0005211186],"domain_scores_gemma":[0.9992982,0.00003055893,0.0001190198,0.000405026,0.00007508311,0.0000720732],"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":[0.004380588,0.00007816106,0.000002349698,0.00001536076,0.00002366192,4.167828e-7,0.000009273802,0.0002884026,0.9838589,0.001108113,0.01017136,0.00006334332],"study_design_scores_gemma":[0.00212763,0.003316538,0.00001294452,0.00001041611,0.00002085868,0.000001535268,0.000008093795,0.00008054672,0.9194012,0.0002123998,0.07458419,0.0002236974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610976,0.000340704,0.03543499,0.0008905189,0.000087274,0.00122731,0.000108657,0.0001743709,0.0006385949],"genre_scores_gemma":[0.9814949,0.0005192696,0.008075942,0.001178394,0.0002748301,0.001098018,0.0009453117,0.00007832739,0.006335007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06445782,"threshold_uncertainty_score":0.8442211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152940043469308,"score_gpt":0.2985357479300288,"score_spread":0.2870063474953357,"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."}}