{"id":"W4366724629","doi":"10.1109/mdat.2023.3250618","title":"Interview With Prof. Sung-Mo (Steve) Kang","year":2023,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Library science; Management; Supervisor; Engineering; Telecommunications; Art history; Sociology; Art; Computer science","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":[0.0002226497,0.0001440581,0.0001503964,0.00009544766,0.00004277843,0.00004757328,0.00009320998,0.00006208515,0.00001242238],"category_scores_gemma":[0.00001569972,0.0001150813,0.00002199907,0.0002777106,0.00002994312,0.00009756468,0.000010801,0.0001108828,0.00009930875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001511092,"about_ca_system_score_gemma":0.000008647284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003316471,"about_ca_topic_score_gemma":0.000002180087,"domain_scores_codex":[0.9994045,0.00002533602,0.0001184482,0.00014607,0.00008522405,0.0002203737],"domain_scores_gemma":[0.999597,0.0001747432,0.00001405721,0.0001263509,0.00002080385,0.00006709821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003028867,0.000162262,0.006645042,0.001815219,0.0002831007,0.0005486461,0.001932422,0.001859705,0.2636311,0.00134776,0.4371859,0.2845585],"study_design_scores_gemma":[0.002768122,0.002895366,0.02148152,0.002537571,0.0002761176,0.0005271563,0.0003952572,0.2365998,0.595025,0.006160054,0.1278588,0.0034752],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07362942,0.002879848,0.8976272,0.0007526051,0.0005319435,0.002292909,0.00003212254,0.01316626,0.009087658],"genre_scores_gemma":[0.9956068,0.0003980419,0.00272701,0.0001110981,0.00007487732,0.0001089684,0.000004623334,0.00005723144,0.000911294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9219775,"threshold_uncertainty_score":0.4692879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209006010813522,"score_gpt":0.2232270348637551,"score_spread":0.1911369747556199,"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."}}