{"id":"W2110405757","doi":"10.1109/tcad.2005.860957","title":"Placement Algorithm in Analog-Layout Designs","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Dalhousie University","funders":"","keywords":"Computer science; Algorithm","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"],"consensus_categories":[],"category_scores_codex":[0.0004222121,0.000352013,0.0005398063,0.0006090558,0.00007174122,0.00008627028,0.0001802238,0.0002263833,0.00001468685],"category_scores_gemma":[0.000001129748,0.0003250045,0.00008639223,0.0005022311,0.00005565079,0.0001455696,6.922244e-7,0.0003300827,0.000007146599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796305,"about_ca_system_score_gemma":0.00004636712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006121877,"about_ca_topic_score_gemma":0.00002250634,"domain_scores_codex":[0.9981187,0.0001882986,0.0007648086,0.0003308354,0.0002449738,0.000352364],"domain_scores_gemma":[0.9992782,0.0001758057,0.00008417449,0.0002675596,0.0001081963,0.00008605384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001508751,0.0002098508,0.00001731032,0.0001204091,0.0001029193,0.00003769993,0.0001779707,0.8731887,0.03259534,0.0001535149,0.0009869413,0.09239429],"study_design_scores_gemma":[0.000747844,0.000509728,0.00005809241,0.0004344193,0.00003400023,0.00005982307,0.0001209295,0.9405707,0.05683928,0.000112736,0.0001205799,0.0003918832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005791768,0.0004506255,0.9915299,0.000003931649,0.0006349033,0.0007327325,0.00006665006,0.0004425795,0.0003468392],"genre_scores_gemma":[0.9930447,0.0001082268,0.006504582,0.00001294828,0.00006203153,0.0001207846,0.00001000432,0.0000497925,0.00008691821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.987253,"threshold_uncertainty_score":0.9999202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644971233590213,"score_gpt":0.2178151001823279,"score_spread":0.1913653878464257,"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."}}