{"id":"W3189852397","doi":"10.1002/jbio.202100144","title":"Single‐shot phase contrast microscopy using polarisation‐resolved differential phase contrast","year":2021,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Medical Research Council Canada; Cancer Research UK; Wellcome Trust","keywords":"Differential interference contrast microscopy; Phase contrast microscopy; Microscopy; Contrast (vision); Phase (matter); Optical microscope; One shot; Optics; Differential (mechanical device); Materials science; Fluorescence microscope; Phase-contrast imaging; Chemistry; Physics; Fluorescence; Scanning electron microscope; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001496098,0.000266435,0.0005329265,0.0001395754,0.0001739793,0.0003283362,0.0002193107,0.0000969185,0.0005168109],"category_scores_gemma":[0.0000171411,0.0002487338,0.0004974171,0.000275336,0.0001469116,0.0003736872,0.00005018813,0.0003800049,0.000005644872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005939661,"about_ca_system_score_gemma":0.0003440761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001885361,"about_ca_topic_score_gemma":0.000002352236,"domain_scores_codex":[0.9982828,0.00006694256,0.0007671223,0.0002303075,0.0002461417,0.0004066082],"domain_scores_gemma":[0.9984276,0.0000694605,0.0006449564,0.0002239732,0.0004035824,0.0002303735],"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":[0.0004132672,0.003323798,0.00121581,0.0000115017,0.0003023033,0.00007834993,0.000158706,0.000007676733,0.9900236,0.0003998168,0.0001790645,0.003886151],"study_design_scores_gemma":[0.01104421,0.0005652591,0.00009826653,0.0001107752,0.0002426138,0.0001082032,0.0005193095,0.0002001847,0.9794814,0.0004234221,0.006925676,0.0002806677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746696,0.0006129148,0.02179966,0.00005583869,0.001059703,0.0001286539,0.0005854675,0.00001129263,0.001076857],"genre_scores_gemma":[0.9970672,0.0000194624,0.002225523,0.0001101786,0.0003895955,0.000001322573,0.00009228533,0.00003013222,0.00006432738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02239756,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610937662225504,"score_gpt":0.3156495728224474,"score_spread":0.2895401962001924,"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."}}