{"id":"W4290755266","doi":"10.3390/s22155890","title":"Direct Conversion X-ray Detector with Micron-Scale Pixel Pitch for Edge-Illumination and Propagation-Based X-ray Phase-Contrast Imaging","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Phase contrast microscopy; Optics; Detector; X-ray; Pixel; X-Ray Phase-Contrast Imaging; Phase-contrast imaging; Contrast (vision); X-ray detector; Phase (matter); Enhanced Data Rates for GSM Evolution; Scale (ratio); Materials science; Physics; Computer science; Computer vision","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":[0.0003979537,0.0002872145,0.000232893,0.0001769043,0.0001060372,0.0006906613,0.0007775638,0.000398014,0.002225032],"category_scores_gemma":[0.0007909306,0.000260737,0.0001799058,0.0002228936,0.0002405954,0.0007982879,0.0004100834,0.0004728346,0.000469315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004788755,"about_ca_system_score_gemma":0.0003644332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003403128,"about_ca_topic_score_gemma":0.0008410961,"domain_scores_codex":[0.9997479,0.00002193891,0.000009039477,0.00005311251,0.000149566,0.00001833451],"domain_scores_gemma":[0.9996257,0.0001576984,0.00006788372,0.00005916194,0.0000735023,0.00001598536],"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":[0.0003027014,0.0002035414,0.0047278,0.0004272733,0.00004929947,0.0002209643,0.0001383904,0.01204006,0.9147172,0.008295013,0.0009050769,0.05797264],"study_design_scores_gemma":[0.00002804365,0.0004029817,0.003105692,0.00002410552,0.00004002139,0.0007255053,0.00006086063,0.09872231,0.8867848,0.0006169581,0.009456132,0.00003258952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.458973,0.002347675,0.5234526,0.0002802292,0.0001461528,0.0002146759,0.0003001178,0.001886107,0.01239941],"genre_scores_gemma":[0.619945,0.0003956764,0.3759456,0.0001011143,0.000009696163,0.00006246213,0.0001380973,0.00009020866,0.003312251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002225032,"threshold_uncertainty_score":0.007443488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005377762964220944,"score_gpt":0.2385251696855017,"score_spread":0.2331474067212808,"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."}}