{"id":"W2051154604","doi":"10.1117/12.460176","title":"<title>MDSP: a modular DSP architecture for a real-time 3D laser range sensor</title>","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Modular design; Computer vision; Computer graphics (images); Artificial intelligence; Digital camera; Flash (photography); Frame rate; Image sensor; Computer hardware; Optics","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":[0.0002519389,0.0004513171,0.0002669353,0.0005607794,0.0002609636,0.0004218746,0.001059974,0.0004421403,0.01386615],"category_scores_gemma":[0.0003261661,0.0002698602,0.0001996617,0.0003058401,0.0002542366,0.0007161874,0.0003503073,0.0005098323,0.006017897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450444,"about_ca_system_score_gemma":0.0003365539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006853979,"about_ca_topic_score_gemma":0.001245435,"domain_scores_codex":[0.9998228,0.00002204932,0.00001077725,0.00003498239,0.00009159921,0.00001786078],"domain_scores_gemma":[0.999845,0.00002131189,0.00001285752,0.00002884668,0.00006783701,0.00002405796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005341259,0.0001557525,0.0007390681,0.0003246637,0.00003587513,0.0003958343,0.000126951,0.004567201,0.4509223,0.01011032,0.03769942,0.4943886],"study_design_scores_gemma":[0.0003058865,0.001154499,0.003370466,0.00006577386,0.0000609244,0.00192033,0.00006028,0.2114101,0.5288023,0.003829226,0.2489124,0.0001079538],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03299429,0.0006875028,0.9304153,0.0003613189,0.0003103198,0.0002898988,0.0005938485,0.01535064,0.0189968],"genre_scores_gemma":[0.284779,0.0005072352,0.6542323,0.0004073948,0.0001840763,0.0003382271,0.001812476,0.0009347526,0.05680445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01386615,"threshold_uncertainty_score":0.0463869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027526736213794,"score_gpt":0.2248168367018703,"score_spread":0.2145415693397324,"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."}}