{"id":"W1997777072","doi":"10.1117/12.604523","title":"&lt;title&gt;CCD sensor and camera for 100 Mfps burst frame rate image capture&lt;/title&gt;","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"Pixel; Frame rate; Microlens; Time delay and integration; Charge-coupled device; Physics; Frame (networking); Image sensor; Reset (finance); Microsecond; Optics; Computer science; Telecommunications","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":[0.0004797932,0.0002783084,0.0003392056,0.0006223165,0.000281306,0.0003123953,0.0007062266,0.0004339555,0.01632728],"category_scores_gemma":[0.000516271,0.0002066988,0.0001128702,0.0003090456,0.0001885309,0.0003828779,0.0002290059,0.000304665,0.00404424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437596,"about_ca_system_score_gemma":0.000496022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100353,"about_ca_topic_score_gemma":0.001926425,"domain_scores_codex":[0.9997446,0.00001582429,0.00001127335,0.00003850765,0.0001607588,0.00002893219],"domain_scores_gemma":[0.9994748,0.00007934155,0.00004490222,0.00007798346,0.0002488566,0.0000740395],"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":[0.0001362052,0.00006472859,0.001445038,0.0001086517,0.00000690628,0.0001795362,0.00004783341,0.0004073596,0.9387254,0.001195913,0.01433929,0.04334312],"study_design_scores_gemma":[0.0000694767,0.0005440129,0.008201701,0.00002217396,0.00001875239,0.0006305432,0.00004122078,0.01549715,0.9263381,0.0002502009,0.04834586,0.00004089945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.471984,0.001048856,0.4477585,0.0009305853,0.0006748107,0.00171666,0.006690611,0.02072287,0.04847315],"genre_scores_gemma":[0.5373108,0.0005364566,0.3737867,0.0005290097,0.000124573,0.001061646,0.004984738,0.001220806,0.08044527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01632728,"threshold_uncertainty_score":0.05462021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007274331271152602,"score_gpt":0.2144473504972346,"score_spread":0.207173019226082,"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."}}