{"id":"W4206074564","doi":"10.1038/s41598-021-04543-7","title":"Low-invasive 5D visualization of mitotic progression by two-photon excitation spinning-disk confocal microscopy","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Science and Technology Agency; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; Hokkaido University; Core Research for Evolutional Science and Technology; University of California, San Diego; Japan Agency for Medical Research and Development","keywords":"Two-photon excitation microscopy; Microscopy; Optical sectioning; Confocal microscopy; Optics; Confocal; Microscope; Materials science; Scanning confocal electron microscopy; Live cell imaging; Fluorescence microscope; Fluorescence; Biomedical engineering; Physics; Chemistry; Medicine; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006185692,0.0001566942,0.0001607495,0.0001082694,0.000354176,0.00005843539,0.0001728908,0.00007070237,0.00004755273],"category_scores_gemma":[0.0001756757,0.0001651495,0.00007872516,0.000345771,0.000346594,0.00001541165,0.0002163933,0.00009086866,0.00000132395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006213275,"about_ca_system_score_gemma":0.0002091008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000133053,"about_ca_topic_score_gemma":0.000005074666,"domain_scores_codex":[0.9979978,0.00009326213,0.0004937144,0.000739261,0.0004216325,0.000254372],"domain_scores_gemma":[0.9985766,0.000008575173,0.0005464524,0.0005704415,0.000234125,0.00006375768],"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":[0.00004247991,0.0001384019,0.003145686,0.00003940903,0.000008491442,0.00001870758,0.0001314368,0.00008351834,0.9850181,0.00001771643,0.01081298,0.0005430661],"study_design_scores_gemma":[0.0001674184,0.0003373511,0.0001011498,0.00005291485,0.00001032552,0.00005353935,0.0001236423,0.00007737697,0.9899686,0.0006008923,0.008334177,0.0001726118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680051,0.0004755702,0.02913966,0.00001879755,0.001557876,0.0006249446,0.00002169808,0.000047487,0.0001088928],"genre_scores_gemma":[0.9910293,0.00001232101,0.006535213,0.00004304776,0.00003536883,0.0001187011,0.001507978,0.00002985995,0.0006881709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02302427,"threshold_uncertainty_score":0.67346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007585932513028183,"score_gpt":0.3148631669800405,"score_spread":0.3072772344670123,"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."}}