{"id":"W2903333303","doi":"10.1088/1361-6463/aaf556","title":"Cadmium zinc telluride pixel detectors for high-intensity x-ray imaging at free electron lasers","year":2018,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redlen Technologies (Canada)","funders":"Science and Technology Facilities Council","keywords":"Cadmium zinc telluride; Cadmium; Cadmium telluride photovoltaics; Zinc; Laser; Optoelectronics; Intensity (physics); Electron; Optics; Materials science; Detector; Physics; Nuclear physics; Metallurgy","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":[0.0001699478,0.0003699553,0.0006340374,0.0000490821,0.0001721715,0.00005375454,0.0003848015,0.00007548898,0.00001324759],"category_scores_gemma":[0.00002201051,0.0003502412,0.0002147948,0.0001782154,0.0001179291,0.0002919872,0.00009208317,0.0002922761,0.00001954942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003397329,"about_ca_system_score_gemma":0.0000474293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005663716,"about_ca_topic_score_gemma":0.000005068019,"domain_scores_codex":[0.998401,0.00001273233,0.0005252031,0.0002297111,0.0002918693,0.000539452],"domain_scores_gemma":[0.998662,0.00009784778,0.0003892639,0.000379387,0.0003090036,0.0001624837],"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":[0.000165391,0.00003760404,0.00001504604,0.00006192512,0.0001218596,0.000002220269,0.0001640004,0.006235675,0.9870942,0.0009294222,0.002939412,0.002233291],"study_design_scores_gemma":[0.0009542,0.0001299152,0.00004131642,0.00003051771,0.0001109434,0.000009100307,0.00003603674,0.001066048,0.9567736,0.03789696,0.002578041,0.0003732867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074633,0.00005958177,0.09017222,0.000008893114,0.001707103,0.0002479401,0.00005917563,0.0001114443,0.0001703084],"genre_scores_gemma":[0.9899572,0.00002115534,0.00455561,0.0001087478,0.005178398,0.00001311682,0.00001164429,0.0001294589,0.00002472898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08561662,"threshold_uncertainty_score":0.999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008217113172628807,"score_gpt":0.2140488873610767,"score_spread":0.2058317741884479,"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."}}