{"id":"W4416772216","doi":"10.17504/protocols.io.rm7vz9pp2gx1/v1","title":"Single-Cell Scanning Electron Microscopy (SEM) v1","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Okinawa Institute of Science and Technology Graduate University","keywords":"Scanning electron microscope; Scanning confocal electron microscopy; Scanning ion-conductance microscopy; Microscopy; Conventional transmission electron microscope; Dark field microscopy; Scanning transmission electron microscopy; Scanning probe microscopy","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":[0.0004021918,0.0005485077,0.0004058687,0.0004476304,0.000531474,0.0006729933,0.001108832,0.0006006732,0.008081662],"category_scores_gemma":[0.0002374373,0.0003737254,0.0003029272,0.0005131329,0.0002639707,0.0006319465,0.0004255038,0.0009471488,0.004164958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716693,"about_ca_system_score_gemma":0.0003518196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004329101,"about_ca_topic_score_gemma":0.001378783,"domain_scores_codex":[0.9997327,0.00002560932,0.00002106807,0.00008510397,0.00009987462,0.00003557897],"domain_scores_gemma":[0.9996496,0.0000612747,0.00003574279,0.0001064723,0.0001030427,0.00004372396],"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":[0.00002734266,0.00001790633,0.0001916208,0.00007617896,0.000007584474,0.00005779131,0.00001314092,0.0001144874,0.9907662,0.0008793612,0.001170145,0.00667827],"study_design_scores_gemma":[0.0000104898,0.0001351021,0.001849341,0.00001977152,0.00001855188,0.0006576734,0.00002518476,0.004401581,0.9587239,0.0006036846,0.03353581,0.0000189615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2198506,0.003245784,0.7210295,0.0006735246,0.0005272855,0.0004925476,0.008054027,0.01032339,0.03580341],"genre_scores_gemma":[0.2265794,0.003419951,0.7356023,0.0004186232,0.00007750931,0.0004190817,0.01005093,0.001254874,0.0221774],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.008081662,"threshold_uncertainty_score":0.02703589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006032294448564095,"score_gpt":0.3185464522021879,"score_spread":0.3125141577536238,"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."}}