{"id":"W2042429460","doi":"10.1063/1.1989407","title":"In-line phase-contrast imaging with a laser-based hard x-ray source","year":2005,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"X-Ray Phase-Contrast Imaging; Phase-contrast imaging; Optics; Femtosecond; Laser; Ultrashort pulse; Materials science; Absorption (acoustics); Phase (matter); Synchrotron; Line (geometry); X-ray; Contrast (vision); Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023734,0.0003310904,0.0002749937,0.0003743229,0.0001888279,0.0004514522,0.0006910181,0.0003931721,0.001455148],"category_scores_gemma":[0.0003385517,0.0001970927,0.0001335723,0.0002330045,0.0003163992,0.0004701188,0.0004486093,0.0004764083,0.000453975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303428,"about_ca_system_score_gemma":0.0001581306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001745026,"about_ca_topic_score_gemma":0.0002089435,"domain_scores_codex":[0.9998451,0.00002929168,0.000007203154,0.00002705913,0.00007208807,0.00001921532],"domain_scores_gemma":[0.9997378,0.00009630534,0.00006448951,0.00003531393,0.00004199488,0.00002410496],"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":[0.0000434834,0.00001785914,0.0001764085,0.00005286721,0.000002785145,0.0000777039,0.00001730957,0.0001404076,0.994789,0.0005303264,0.00008677463,0.00406513],"study_design_scores_gemma":[0.00001396992,0.00008537236,0.0005870647,0.000003615664,0.000007162053,0.0004385455,0.00001055588,0.002922001,0.9936045,0.0001664876,0.002155086,0.000005681883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919252,0.002488822,0.1962823,0.0004527212,0.0001036981,0.0001185802,0.0001693437,0.0004134928,0.008045825],"genre_scores_gemma":[0.7639794,0.001750813,0.2266602,0.0001312023,0.00007511342,0.000138606,0.000167822,0.00008338866,0.007013496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001455148,"threshold_uncertainty_score":0.004867971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281003448349247,"score_gpt":0.2954842640123392,"score_spread":0.2826742295288467,"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."}}