{"id":"W2964908797","doi":"10.1364/boe.10.004369","title":"Simple adaptive mobile phone screen illumination for dual phone differential phase contrast (DPDPC) microscopy","year":2019,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Ministry of Science and Technology of the People's Republic of China","keywords":"Phone; Computer science; Contrast (vision); Mobile phone; Optics; Lens (geology); Phase (matter); Micrometer; Computer vision; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001052461,0.0002814083,0.0003981596,0.0001084558,0.0001166453,0.0001081051,0.0002449857,0.0001363887,0.0007153929],"category_scores_gemma":[0.000007702452,0.0002574364,0.0002335946,0.0001830189,0.0002944602,0.0002208999,0.000109252,0.000163482,0.0001082715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002039517,"about_ca_system_score_gemma":0.00005927576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004213922,"about_ca_topic_score_gemma":5.846058e-7,"domain_scores_codex":[0.998329,0.00002856735,0.0003857524,0.0004554608,0.000267027,0.0005342005],"domain_scores_gemma":[0.9990188,0.000157476,0.0001609148,0.0002800473,0.0001269982,0.0002557367],"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":[0.0008441748,0.003262013,0.000255433,0.00004845541,0.0002669786,0.000003761316,0.0003570577,0.000005491819,0.9564124,0.007175664,0.007832717,0.02353585],"study_design_scores_gemma":[0.02790993,0.003502423,0.000364627,0.000160975,0.0002339444,0.000003655486,0.002115213,0.004759823,0.875904,0.004013663,0.07969122,0.001340581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.816826,0.00004913711,0.1767294,0.00002019463,0.0006758833,0.000970702,0.003311349,0.00005349565,0.001363893],"genre_scores_gemma":[0.9932874,0.000003656916,0.003276159,0.00004504557,0.0005527812,0.0001935938,0.002020292,0.00003914562,0.0005818779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1764615,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009712055534346136,"score_gpt":0.2793794761603076,"score_spread":0.2696674206259614,"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."}}