{"id":"W4247041509","doi":"10.1109/icicdt.2019.8790867","title":"Table of contents","year":2019,"lang":"en","type":"article","venue":"","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001634578,0.00003728199,0.00006974726,0.00001216908,0.000002830056,0.000002261669,0.00005635062,0.00001523288,0.001490798],"category_scores_gemma":[9.54107e-7,0.00003300533,0.0000117957,0.00004263259,0.000004296237,0.00007168594,0.000004179583,0.00002218271,0.0001424339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005268351,"about_ca_system_score_gemma":0.000001231023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003907398,"about_ca_topic_score_gemma":4.705778e-7,"domain_scores_codex":[0.9997544,0.000001363018,0.00007834499,0.00004249486,0.00004968444,0.00007367566],"domain_scores_gemma":[0.999856,0.000007249952,0.000008666537,0.0001021822,0.00001247604,0.00001344224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002346194,0.00001892389,0.02133146,0.0001757917,0.00006244862,5.97864e-7,0.00007971265,0.007638892,0.9528046,0.01017353,0.002800837,0.00491085],"study_design_scores_gemma":[0.001500757,0.0001073011,0.002904899,0.0001176874,0.00001967194,0.000004102168,0.0007187242,0.02534225,0.7782984,0.001610023,0.1888706,0.0005056157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6630687,0.0004272681,0.006523655,0.000001654861,0.0005970398,0.0001282129,0.000004041256,0.0001113304,0.3291381],"genre_scores_gemma":[0.9957123,0.00002045578,0.000251819,0.00002342459,0.00000788389,0.000001465436,0.000001279323,0.000007785584,0.00397354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3326436,"threshold_uncertainty_score":0.999422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404652704319309,"score_gpt":0.2114588999050767,"score_spread":0.1974123728618836,"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."}}