{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008028448,0.0007046554,0.0008429002,0.0009927398,0.0004715383,0.0008400104,0.001074502,0.0007434672,0.005818969],"category_scores_gemma":[0.002707555,0.0004891721,0.000424498,0.000999734,0.0004214045,0.001539003,0.0009918063,0.00122092,0.001524579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006109593,"about_ca_system_score_gemma":0.0008429707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489064,"about_ca_topic_score_gemma":0.002986109,"domain_scores_codex":[0.9994741,0.0001117493,0.00003170068,0.0000838864,0.0002583789,0.00004021161],"domain_scores_gemma":[0.9993217,0.0002959218,0.00005920999,0.0001382936,0.0001670278,0.00001785374],"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":[0.0001723525,0.00005424743,0.0006003999,0.0001179688,0.00003335,0.00007598757,0.0001416401,0.5117377,0.01720921,0.07761323,0.003554994,0.3886888],"study_design_scores_gemma":[0.000006568979,0.0000156955,0.0000647228,0.000008693341,0.000004337216,0.00003337467,0.000006757584,0.980998,0.004077436,0.01051159,0.004265027,0.000007748731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001623109,0.00006565869,0.9970462,0.00002292788,0.00001098209,0.00001448899,0.00001957924,0.0005067243,0.0006902682],"genre_scores_gemma":[0.08868895,0.0001934689,0.9074757,0.00007564655,0.0000141372,0.0001490992,0.0002333226,0.0003063009,0.002863383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005818969,"threshold_uncertainty_score":0.0194664,"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."}}