{"id":"W2121091932","doi":"10.1109/rsp.2009.37","title":"Rapid Prototyping Projection Algorithms with FPGA Technology","year":2009,"lang":"en","type":"article","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Toeplitz matrix; Field-programmable gate array; Projection (relational algebra); Computer science; Algorithm; Acceleration; Field (mathematics); Mathematics; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002139912,0.0001164899,0.0001137769,0.000211676,0.0001364841,0.00008501607,0.0004681015,0.00007090517,0.00002920677],"category_scores_gemma":[0.000009572354,0.00008171063,0.00002450806,0.0008646526,0.00003746805,0.0004162801,0.00004908557,0.0001426177,0.0000423551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001940488,"about_ca_system_score_gemma":0.0000455702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002920871,"about_ca_topic_score_gemma":7.550263e-7,"domain_scores_codex":[0.9991229,0.00002873663,0.0001267571,0.0003315832,0.0001396676,0.0002503748],"domain_scores_gemma":[0.999445,0.00001211201,0.00005014248,0.0003891852,0.00006182042,0.00004180573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007659276,0.00004653152,0.000009911978,0.000003506663,0.000004728397,0.00001116829,0.00006613956,0.000003860197,0.0001809858,0.1588756,0.00005847338,0.8407315],"study_design_scores_gemma":[0.002934088,0.006864822,0.001086003,0.0001827096,0.00002335441,0.00153513,0.0003657783,0.2400402,0.2594344,0.3302732,0.1555645,0.001695851],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001317217,0.0001051368,0.9748476,0.003303702,0.0001014025,0.0006694029,1.903272e-7,0.001040169,0.01861515],"genre_scores_gemma":[0.1981659,0.0000352903,0.797818,0.0008945685,0.0001953843,0.0001621763,0.000001349926,0.00001313068,0.002714127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8390356,"threshold_uncertainty_score":0.3332063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096893544002655,"score_gpt":0.2355907840777718,"score_spread":0.2246218486377452,"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."}}