{"id":"W2111839224","doi":"10.1109/camp.1997.631914","title":"Investigating real-time validation of real-time image processing ASICs","year":2002,"lang":"en","type":"preprint","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Emulation; Computer science; Application-specific integrated circuit; Computer architecture; Architecture; Design flow; Static timing analysis; Image processing; Embedded system; Hardware emulation; Electronic circuit; Image (mathematics); Real-time computing; Computer hardware; Field-programmable gate array; Artificial intelligence; Engineering","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":[0.001748667,0.0005262942,0.000376045,0.0002507642,0.0001666881,0.0007582559,0.001022761,0.0006572188,0.001625254],"category_scores_gemma":[0.006369184,0.0001604008,0.0002124287,0.0002098461,0.0005704171,0.001012992,0.0003522637,0.0006256821,0.0002472527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005764378,"about_ca_system_score_gemma":0.0005213952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003862868,"about_ca_topic_score_gemma":0.0003171189,"domain_scores_codex":[0.9985194,0.0005175023,0.00003659067,0.0001437517,0.0006783438,0.0001044822],"domain_scores_gemma":[0.9971935,0.001432152,0.0002783882,0.0004480601,0.0006071362,0.00004083226],"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":[0.0006904887,0.0002076218,0.00351208,0.0008700658,0.0001418416,0.0006876626,0.0006419606,0.2674704,0.5096952,0.05857593,0.001611665,0.1558952],"study_design_scores_gemma":[0.00005792328,0.000416008,0.000962841,0.00004092677,0.00003722599,0.0002727868,0.00007753415,0.3312554,0.6528708,0.004302011,0.009682586,0.00002405089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3217486,0.0006915861,0.6701546,0.0002943019,0.0001021796,0.0001036968,0.0000695833,0.00133603,0.00549957],"genre_scores_gemma":[0.857664,0.0003285392,0.1391922,0.0001006314,0.0000189529,0.00006976842,0.0001224696,0.0002076831,0.002295877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001748667,"threshold_uncertainty_score":0.009247959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637843613521323,"score_gpt":0.2389887973115781,"score_spread":0.2226103611763649,"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."}}