{"id":"W2021958199","doi":"10.1016/j.micpro.2011.05.008","title":"Universal bridge interface for DVP-compatible image sensors","year":2011,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Microcontroller; Pixel; Computer hardware; VHDL; Random access; Interface (matter); Field-programmable gate array; Image sensor; Image compression; Image processing; Embedded system; Artificial intelligence; Image (mathematics)","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":[0.0007444971,0.0004532097,0.0004922933,0.0008311931,0.0004007226,0.0008196314,0.002261495,0.0006771901,0.02766562],"category_scores_gemma":[0.002097236,0.0003141551,0.0001739925,0.0007118749,0.0002546643,0.001382319,0.001374221,0.0006926103,0.00587522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004159731,"about_ca_system_score_gemma":0.0003584079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003390182,"about_ca_topic_score_gemma":0.0004961113,"domain_scores_codex":[0.9993454,0.00008491059,0.00003641151,0.0001365725,0.0003040647,0.00009271636],"domain_scores_gemma":[0.9993303,0.0001322496,0.00004459883,0.0001594475,0.0002747418,0.00005882052],"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":[0.001186383,0.0002679924,0.001850402,0.0007286167,0.00003417012,0.0004066703,0.0006089618,0.0007491711,0.5523819,0.02543655,0.05263191,0.3637173],"study_design_scores_gemma":[0.000181603,0.0008407974,0.004153787,0.0001327009,0.00006144818,0.002068697,0.0001778388,0.03345157,0.7304826,0.006239996,0.2221249,0.0000840389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1417549,0.001823388,0.7743738,0.0005627819,0.0007148381,0.0006680769,0.001675588,0.02573521,0.05269142],"genre_scores_gemma":[0.7432091,0.000729039,0.1714976,0.001249029,0.0002650004,0.000759091,0.00312356,0.002279901,0.07688777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02766562,"threshold_uncertainty_score":0.09255069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667126805002642,"score_gpt":0.2143705644965972,"score_spread":0.1976992964465707,"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."}}