{"id":"W2808243021","doi":"10.1557/adv.2018.487","title":"Novel Near Field Detector for Three-Dimensional X-Ray Diffraction Microscopy","year":2018,"lang":"en","type":"article","venue":"MRS Advances","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Detector; Optics; Diffraction; Microscopy; Synchrotron; Image resolution; Microscope; Materials science; Scintillator; Field of view; X-ray detector; Resolution (logic); Pixel; Field (mathematics); Optoelectronics; Physics; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00006492066,0.0001666279,0.0001625812,0.00003225127,0.0002859791,0.00004750652,0.000155329,0.00003361474,0.0001696402],"category_scores_gemma":[0.00002395959,0.0001524872,0.00008306011,0.00008436936,0.0001249659,0.000393098,0.0000459241,0.0001139123,0.00002960718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002191166,"about_ca_system_score_gemma":0.00003008596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007676637,"about_ca_topic_score_gemma":0.00003469384,"domain_scores_codex":[0.9991282,0.000006474102,0.0001757921,0.0003034171,0.0001094899,0.0002766379],"domain_scores_gemma":[0.9993085,0.0001640489,0.0001232918,0.0002335391,0.0001197388,0.00005082501],"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":[0.0003577325,0.0003471353,0.02188166,0.0000401923,0.00008189696,6.811165e-7,0.0001250245,0.0004487346,0.6156474,0.003106759,0.005201221,0.3527615],"study_design_scores_gemma":[0.001059933,0.0005687255,0.002687926,0.00009155615,0.00003701902,0.00000155452,0.00004692045,0.007695807,0.535912,0.04261488,0.4087092,0.0005744798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09128787,0.0001392908,0.9067056,0.0002721327,0.0005245499,0.0003522168,0.00005394346,0.0001584666,0.0005058799],"genre_scores_gemma":[0.6196957,0.000001285655,0.3790173,0.000204918,0.0007209718,0.0001130084,0.00001749727,0.00002900467,0.0002002824],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5284078,"threshold_uncertainty_score":0.6218247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143734747652429,"score_gpt":0.3062130900563819,"score_spread":0.2947757425798576,"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."}}