{"id":"W3052909623","doi":"10.1109/pn50013.2020.9166985","title":"Measuring Absolute Cell Volume Using Digital Holographic Microscopy","year":2020,"lang":"en","type":"article","venue":"","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Digital holographic microscopy; Holography; Microscopy; Refractive index; Materials science; Decoupling (probability); Volume (thermodynamics); Digital holography; Optics; Microfluidics; Biomedical engineering; Optoelectronics; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00003336056,0.000206734,0.00020127,0.00006203102,0.0001141464,0.0002893981,0.000224535,0.00004204336,0.0002454348],"category_scores_gemma":[0.000001745591,0.0002000529,0.0002418799,0.000357613,0.0001063061,0.000508254,0.0001073871,0.0001530814,0.0002416259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005378478,"about_ca_system_score_gemma":0.00002908321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003588675,"about_ca_topic_score_gemma":2.211134e-7,"domain_scores_codex":[0.9989287,0.000009952307,0.0002170788,0.0003562295,0.0001015845,0.0003864159],"domain_scores_gemma":[0.9995148,0.0000109853,0.0000729191,0.0001702003,0.00003818977,0.0001929502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009448326,0.0006335339,0.4982446,0.00007642492,0.0002262,0.00002294144,0.0006111549,0.0001428771,0.479654,0.002908601,0.007186248,0.01019896],"study_design_scores_gemma":[0.007803436,0.001319414,0.03055645,0.0001869261,0.0003918295,0.00002028723,0.004396975,0.00462203,0.774979,0.01140243,0.1588805,0.005440807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772005,0.00007694724,0.0189558,0.00008102963,0.0001170181,0.0001328585,0.0001034485,0.0001187693,0.1032137],"genre_scores_gemma":[0.9972875,0.000001009905,0.001722699,0.0002444128,0.0001634315,0.000003793445,0.00003288163,0.00002825856,0.0005159714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4676881,"threshold_uncertainty_score":0.815792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962618553056812,"score_gpt":0.2284145347683618,"score_spread":0.1987883492377937,"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."}}