{"id":"W4402209515","doi":"10.1145/3670474.3685969","title":"Enabling Risk Management of Machine Learning Predictions for FPGA Routability","year":2024,"lang":"en","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field-programmable gate array; Computer science; Embedded system; Computer architecture; 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":[0.000413018,0.000103091,0.0001347005,0.00009528871,0.0002173445,0.000112725,0.0003021101,0.00003208809,0.00005259973],"category_scores_gemma":[0.00003917201,0.00008594653,0.0001566257,0.0005359895,0.00003024657,0.0003982827,0.0002181706,0.0001927956,0.00002249495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004829099,"about_ca_system_score_gemma":0.00003055135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001241552,"about_ca_topic_score_gemma":0.00001883238,"domain_scores_codex":[0.9989531,0.00004509136,0.0002181007,0.0003946731,0.0001853878,0.0002036538],"domain_scores_gemma":[0.9992661,0.0002125686,0.00003855364,0.0003432157,0.00007676399,0.00006281892],"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":[0.0000164876,0.0002863981,0.0005363493,0.0005280304,0.0002450018,0.000004659068,0.0005370826,0.009707624,0.00007781955,0.823356,0.0009119123,0.1637926],"study_design_scores_gemma":[0.0001884295,0.0001406264,0.0007188814,0.00004848613,0.00005692122,0.000001619317,0.00006325905,0.8500627,0.0005226631,0.04625835,0.101815,0.0001230959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002453666,0.0003967235,0.9857266,0.0002582242,0.0005127017,0.0002690024,0.00003570544,0.0005313084,0.009816044],"genre_scores_gemma":[0.9671952,0.000131005,0.0305437,0.0000196052,0.00009354035,0.00006689853,0.00001249993,0.000008557308,0.001929055],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9647415,"threshold_uncertainty_score":0.3504798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436761228365385,"score_gpt":0.2495621753023648,"score_spread":0.2351945630187109,"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."}}