{"id":"W2155484292","doi":"10.1109/icnf.2011.5994352","title":"Low-frequency noise in a-Se based x-ray photoconductors","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Noise spectral density; Noise measurement; Masking (illustration); White noise; Physics; Noise power; Noise figure; Telecommunications; Optoelectronics; Power (physics); Acoustics; Computer science; Noise reduction; Amplifier; Artificial intelligence","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":[0.0003633394,0.0003151378,0.0003159826,0.0005417921,0.0003343357,0.0005439721,0.0005788131,0.000553568,0.0008768222],"category_scores_gemma":[0.001569423,0.0001779712,0.0001108628,0.0005610521,0.0006812143,0.0005886607,0.00026174,0.0003233736,0.0002873509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760497,"about_ca_system_score_gemma":0.0001084996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009704355,"about_ca_topic_score_gemma":0.001521224,"domain_scores_codex":[0.9993885,0.00007359692,0.00002537813,0.0001491335,0.00030502,0.00005847414],"domain_scores_gemma":[0.9989126,0.0005097272,0.0001740759,0.00009443236,0.0002686098,0.00004056828],"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":[0.0005050764,0.00008479998,0.009213193,0.0001237907,0.0000267034,0.0004732906,0.0003841865,0.001565531,0.9728443,0.0007561777,0.0001348944,0.01388807],"study_design_scores_gemma":[0.00002087399,0.0006680395,0.0230906,0.00001952831,0.00003016239,0.0006514291,0.000147182,0.01134131,0.9622189,0.0003600328,0.00143225,0.00001968298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915116,0.000511417,0.00648406,0.00006481552,0.00001272693,0.00001167225,0.00004803762,0.0001334183,0.001222137],"genre_scores_gemma":[0.9961715,0.0001444616,0.002309294,0.00001994812,0.000008025232,0.000006327181,0.00004650971,0.00002296429,0.001270951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009704355,"threshold_uncertainty_score":0.002933264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287686759552054,"score_gpt":0.2284117470790575,"score_spread":0.1996430711238521,"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."}}