{"id":"W2744831198","doi":"10.1038/s41598-017-09168-3","title":"Characterization of polycrystalline lead oxide for application in direct conversion X-ray detectors","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Crystallite; Materials science; Photocurrent; X-ray detector; Electron mobility; Detector; Yield (engineering); X-ray; Characterization (materials science); Analytical Chemistry (journal); Spectroscopy; Oxide; Charge carrier; Lead oxide; Electron; Electric field; Optoelectronics; Chemistry; Physics; Nanotechnology; Optics","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":[0.00008539225,0.0001918005,0.0001050875,0.0003002984,0.0001322684,0.0003320609,0.0001828958,0.000189572,0.001258437],"category_scores_gemma":[0.0003343484,0.00008775352,0.00006427871,0.0003659662,0.0001167373,0.0001364774,0.00005444392,0.00009815967,0.0001965586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154105,"about_ca_system_score_gemma":0.0001694017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007958293,"about_ca_topic_score_gemma":0.001696661,"domain_scores_codex":[0.9999455,0.00000457029,0.000002771389,0.00001349073,0.00002574123,0.000007912493],"domain_scores_gemma":[0.9998585,0.00004366316,0.00002438832,0.00001013651,0.00005029588,0.00001294361],"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":[0.00003308533,0.000006961216,0.001254028,0.00005467317,0.000002686361,0.0001073448,0.0000198969,0.00009977451,0.9963266,0.00003507221,0.00003295468,0.002026822],"study_design_scores_gemma":[0.00001783101,0.000450444,0.04047479,0.00002656713,0.00003005078,0.0002767857,0.000138591,0.002566676,0.9527033,0.00008236093,0.003225794,0.000006791059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99203,0.001026006,0.004112214,0.00004458093,0.00002301784,0.00003975564,0.0005015589,0.00005381309,0.002168963],"genre_scores_gemma":[0.9936575,0.0006256402,0.00351065,0.00001822861,0.000007379788,0.00003439737,0.000360853,0.00002085717,0.001764524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258437,"threshold_uncertainty_score":0.004209876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221695965723128,"score_gpt":0.2354389465151178,"score_spread":0.2232219868578866,"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."}}