{"id":"W3080737262","doi":"10.1364/ol.391641","title":"Simultaneous measurements of a specimen quantitative-phase signal and its surrounding medium refractive index using quantitative-phase imaging","year":2020,"lang":"en","type":"article","venue":"Optics Letters","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation","keywords":"Phase (matter); Refractive index; Algorithm; Computer science; Artificial intelligence; Optics; Physics","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":[0.0007570577,0.0006434341,0.0004487038,0.0005540469,0.0002818354,0.0007801247,0.0008496051,0.0006904993,0.001412179],"category_scores_gemma":[0.0009756851,0.0003696467,0.0003333153,0.000591553,0.0007761228,0.001040179,0.0009977235,0.0009668081,0.0007845691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183766,"about_ca_system_score_gemma":0.0005328026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003729236,"about_ca_topic_score_gemma":0.0008722321,"domain_scores_codex":[0.9992989,0.00008853465,0.00003791847,0.000248566,0.0002820143,0.00004410044],"domain_scores_gemma":[0.99941,0.0002011975,0.0001159265,0.0001258365,0.0001095249,0.00003747816],"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":[0.00003635843,0.00001406006,0.0002027145,0.00008419019,0.000006476577,0.0000407234,0.00003524542,0.0002082565,0.9907078,0.0006732225,0.0001093201,0.007881566],"study_design_scores_gemma":[0.00000722296,0.0000675725,0.0006951741,0.00000766223,0.00001587792,0.0001669097,0.00002045679,0.005671173,0.9905689,0.0003583333,0.002403791,0.00001699379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.262997,0.001555662,0.7268816,0.0002799515,0.0003113488,0.0001888277,0.0005117658,0.001000813,0.006273064],"genre_scores_gemma":[0.4252053,0.001886713,0.5674823,0.000154884,0.0001079607,0.0002619674,0.0004091924,0.0002815335,0.004210238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001412179,"threshold_uncertainty_score":0.004724205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.062502774431399,"score_gpt":0.3463112553850182,"score_spread":0.2838084809536192,"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."}}