{"id":"W2138243962","doi":"10.1109/iscas.2011.5937918","title":"An efficient algorithm of performing range analysis for fixed-point arithmetic circuits based on SAT checking","year":2011,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Datapath; Computer science; Affine arithmetic; Range (aeronautics); Algorithm; Arithmetic; Integer (computer science); Fixed-point arithmetic; Representation (politics); Electronic circuit; Affine transformation; Floating point; Mathematics; Parallel computing","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":[],"consensus_categories":[],"category_scores_codex":[0.0009878849,0.0001846392,0.0003474539,0.0005343583,0.0001814176,0.00007386762,0.0007694864,0.0000619384,0.00004430055],"category_scores_gemma":[0.00009059459,0.00015948,0.0002694541,0.001092524,0.0000376214,0.0001980103,0.00005439705,0.0000986993,0.000006519246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004714858,"about_ca_system_score_gemma":0.0000617597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124713,"about_ca_topic_score_gemma":0.00001315522,"domain_scores_codex":[0.9982774,0.00005401102,0.0003847173,0.0005252141,0.0003637061,0.0003949578],"domain_scores_gemma":[0.998619,0.0002092987,0.0001755947,0.0006761457,0.0001830699,0.0001369501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001441934,0.0007067096,0.02394716,0.00008362814,0.0001689569,0.00001639832,0.003083518,0.02643155,0.001791047,0.003261288,0.000007501691,0.9405008],"study_design_scores_gemma":[0.0003779637,0.0002811209,0.01732425,0.00003839488,0.0001064385,0.000002570499,0.00009537082,0.9737876,0.007635763,0.0001353582,0.000004142856,0.0002110299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05135272,0.00001805333,0.9457909,0.00002338424,0.00009907814,0.0002013118,0.000005511849,0.0001444732,0.00236456],"genre_scores_gemma":[0.9223712,3.795882e-7,0.07734283,0.0001921826,0.00003824035,0.00001831237,0.000006440977,0.00001146147,0.00001894585],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.947356,"threshold_uncertainty_score":0.6503406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410187975414467,"score_gpt":0.2538605792007196,"score_spread":0.2097586994465749,"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."}}