{"id":"W3010755201","doi":"10.1117/12.2544419","title":"A comparison of phase retrieval methods for propagation-based phase contrast X-ray imaging with polychromatic sources","year":2020,"lang":"en","type":"article","venue":"Medical Imaging 2020: Physics of Medical Imaging","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Phase retrieval; Monochromatic color; Phase (matter); Phase-contrast imaging; Optics; X-Ray Phase-Contrast Imaging; Contrast (vision); Inverse problem; Attenuation; Detector; Physics; Computer science; Materials science; Mathematics; Phase contrast microscopy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001807869,0.000640307,0.001572568,0.0001343624,0.0002229975,0.0001034712,0.001257085,0.00007117936,0.0004525153],"category_scores_gemma":[0.001526043,0.000558953,0.0003850361,0.0008264712,0.001740054,0.0005300115,0.0002578268,0.001066519,0.000004171354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006084857,"about_ca_system_score_gemma":0.001025106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009726075,"about_ca_topic_score_gemma":3.686899e-7,"domain_scores_codex":[0.9938245,0.0003705295,0.001641795,0.0009019068,0.00238223,0.0008790839],"domain_scores_gemma":[0.9950148,0.001766582,0.00115258,0.0005724962,0.0004711818,0.001022336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00085786,0.004282136,0.02997516,0.001043785,0.0003906681,0.00006097168,0.002077532,0.0003064417,0.05160434,0.00255094,0.003634928,0.9032152],"study_design_scores_gemma":[0.01057368,0.000181096,0.00002176351,0.001206327,0.0003162114,0.000005248789,0.001054587,0.8657361,0.115876,0.003337279,0.001146205,0.0005455488],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.011229,0.0006724719,0.9619241,0.02444335,0.0001749459,0.0009830997,0.0001025597,0.0003193508,0.0001511015],"genre_scores_gemma":[0.8655071,0.000003756252,0.1319023,0.001361503,0.000809263,0.00008760676,0.0001982733,0.0001265063,0.000003726193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9026697,"threshold_uncertainty_score":0.9996862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387440745749122,"score_gpt":0.4131638324975271,"score_spread":0.3892894250400359,"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."}}