{"id":"W2112868953","doi":"10.1109/iscas.2008.4542032","title":"Binning algorithm for accurate computer aided device modeling","year":2008,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Algorithm; Black box; Set (abstract data type); Context (archaeology); Artificial neural network; Generality; Artificial intelligence","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":[0.00006672558,0.0001127598,0.000127273,0.00006289958,0.00007426208,0.00001820613,0.00009583975,0.00006294611,0.00001427378],"category_scores_gemma":[0.000002475043,0.000105696,0.0000503929,0.00008195728,0.000007350633,0.0001496928,0.00001591735,0.00007204061,0.00001620936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002135346,"about_ca_system_score_gemma":0.00000704452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047361,"about_ca_topic_score_gemma":7.641297e-7,"domain_scores_codex":[0.9994558,0.000004461081,0.0001597029,0.0001165382,0.00006145773,0.0002020435],"domain_scores_gemma":[0.999761,0.00003130085,0.000009539705,0.0001116545,0.00004348549,0.00004302904],"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":[0.00000583127,0.00003792843,0.00005351943,0.0001078706,0.0001299077,0.00003633669,0.0007691666,0.4424797,0.01063187,0.0008984426,0.02630778,0.5185417],"study_design_scores_gemma":[0.0001537026,0.00002160842,0.000005080248,0.00001362902,0.000004319073,0.00001647392,0.000008134357,0.9909369,0.007390144,0.0002649511,0.001028796,0.0001562794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008462552,0.0001015123,0.9881565,0.00001230746,0.0001143088,0.0001729544,0.000003216518,0.001422232,0.001554391],"genre_scores_gemma":[0.2661906,0.00004872845,0.7333577,0.000127481,0.0001242412,0.00003580395,0.00000725283,0.00003181975,0.0000763749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5484572,"threshold_uncertainty_score":0.4310159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04933811692239483,"score_gpt":0.2505110461761093,"score_spread":0.2011729292537145,"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."}}