{"id":"W3112709105","doi":"10.1109/jsen.2020.3043288","title":"Frontiers in Photosensor Materials and Designs for New Image Sensor Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photodetector; Image sensor; Computer science; Bridge (graph theory); Image processing; Engineering; Nanotechnology; Systems engineering; Image (mathematics); Materials science; Computer vision; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001136246,0.0001574202,0.0002585508,0.00007688872,0.00009346849,0.0001731283,0.0001068554,0.00007125761,0.00006194037],"category_scores_gemma":[0.00001925607,0.0001569758,0.00004351747,0.0001227976,0.00003053844,0.0001168869,0.000007775073,0.0001167846,0.00002273956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003403587,"about_ca_system_score_gemma":0.0000224123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005131216,"about_ca_topic_score_gemma":0.000001226318,"domain_scores_codex":[0.999119,0.00002483103,0.0003510042,0.0001643419,0.00007899848,0.0002617968],"domain_scores_gemma":[0.999516,0.00003613095,0.00005853516,0.0001012577,0.0000342035,0.00025391],"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":[0.0000256843,0.000007925748,0.00002328388,0.00004721116,0.00002038455,0.000004903687,0.0002418648,0.001569256,0.9773849,0.000025355,0.01965868,0.0009905393],"study_design_scores_gemma":[0.001667949,0.00005979797,0.0005236338,0.00003529559,0.00005724643,0.0001655046,0.0003612717,0.008604399,0.9217149,0.001277739,0.06504722,0.0004850607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082111,0.0001523777,0.1892777,0.001011628,0.0003264498,0.0006236875,0.0001473693,0.0001162854,0.0001333771],"genre_scores_gemma":[0.8610345,0.0005992508,0.135607,0.0003237021,0.0020225,0.0001292919,0.00001606272,0.0001098705,0.0001577755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05567003,"threshold_uncertainty_score":0.6401286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454618723611346,"score_gpt":0.2390568284512885,"score_spread":0.214510641215175,"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."}}