{"id":"W4231140189","doi":"10.1109/iccad.2002.1167524","title":"Specifying and verifying imprecise sequential datapaths by arithmetic transforms","year":2003,"lang":"en","type":"article","venue":"IEEE/ACM International Conference on Computer Aided Design, 2002. ICCAD 2002.","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Datapath; Computer science; Arithmetic; Block (permutation group theory); Algorithm; Polynomial; Parallel computing; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001396785,0.0005778287,0.0004740079,0.0004479007,0.0002920774,0.001067253,0.002660325,0.0002507604,0.0004451495],"category_scores_gemma":[0.0002105718,0.0005716072,0.0001353239,0.0004461472,0.0001860837,0.001901055,0.0002337264,0.0006469723,0.0003230979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396786,"about_ca_system_score_gemma":0.0002070682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003307134,"about_ca_topic_score_gemma":0.000002742504,"domain_scores_codex":[0.9955434,0.0005434552,0.0008760934,0.001286657,0.001046682,0.0007036625],"domain_scores_gemma":[0.9973252,0.0003449466,0.0003322461,0.001268197,0.0004076269,0.0003218305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003007675,0.000852473,0.0002232611,0.000113356,0.000403129,0.0001743422,0.002246261,0.003032759,0.0551233,0.5182343,0.03609858,0.3831975],"study_design_scores_gemma":[0.002764132,0.0007840333,0.0004859127,0.0003312672,0.00004275481,0.0003962496,0.00004647266,0.8600212,0.08599167,0.01828583,0.02925939,0.001591111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002559225,0.0001709832,0.9856724,0.0004247791,0.003524408,0.0005864811,0.00005455274,0.0002720836,0.006735104],"genre_scores_gemma":[0.1588821,0.0003726932,0.8384097,0.0008924297,0.0003316812,0.00007821334,0.00002945579,0.00005377707,0.0009499478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8569884,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273388887508718,"score_gpt":0.3312783967356497,"score_spread":0.2039395079847779,"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."}}