{"id":"W2014551106","doi":"10.1364/ao.49.004483","title":"Crosstalk quantification, analysis, and trends in CMOS image sensors","year":2010,"lang":"en","type":"article","venue":"Applied Optics","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Crosstalk; Pixel; CMOS; Image sensor; Materials science; Optics; Computer science; Optoelectronics; Physics","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":[0.001110762,0.0005152649,0.0003355828,0.0017077,0.000271303,0.0006970951,0.0006770567,0.0006570838,0.0006183868],"category_scores_gemma":[0.002074561,0.0003534073,0.0002712097,0.001958637,0.0006543981,0.0009070685,0.0003178913,0.0004309233,0.0002320295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539039,"about_ca_system_score_gemma":0.0006097654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383869,"about_ca_topic_score_gemma":0.001885465,"domain_scores_codex":[0.9982993,0.0002025244,0.00007177352,0.0002532657,0.001056128,0.0001169697],"domain_scores_gemma":[0.998405,0.0005088445,0.0002460409,0.0001004516,0.0006900901,0.00004962933],"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":[0.0001801256,0.00009026301,0.01230441,0.0003354735,0.00005988223,0.0001689748,0.0003230831,0.01678497,0.906706,0.003723987,0.0006090959,0.05871374],"study_design_scores_gemma":[0.000007576331,0.0003238109,0.02150114,0.00002278654,0.00004838013,0.0005818061,0.0001671698,0.09090572,0.8824229,0.001051806,0.002905968,0.00006104953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.774125,0.005490669,0.2092403,0.0005598565,0.00006535617,0.0001119577,0.0003689519,0.001505421,0.008532437],"genre_scores_gemma":[0.9190166,0.001320929,0.07718642,0.0001435103,0.00003350339,0.00006048166,0.0002277996,0.00008289464,0.001927897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0017077,"threshold_uncertainty_score":0.01116657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005047413667020165,"score_gpt":0.2244874382071876,"score_spread":0.2194400245401674,"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."}}