{"id":"W4386230627","doi":"10.1109/mdat.2023.3287930","title":"Postpandemic Conferences: The DATE 2023 Experience","year":2023,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"École Centrale de Lyon; Polytechnique Montréal","keywords":"Event (particle physics); Software; Automation; Electronic design automation; Computer science; Embedded system; Electronics; Software engineering; Software design; Engineering; Systems engineering; Operating system; Electrical engineering; Software development","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004322527,0.0001055098,0.00009628154,0.00005496219,0.0003097227,0.0002601935,0.0006736829,0.00003691894,0.000002447663],"category_scores_gemma":[0.00009968637,0.00007045033,0.00002187244,0.0004916386,0.00009079764,0.0001945882,0.0001450748,0.0001102346,0.0002296782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003590985,"about_ca_system_score_gemma":0.00006507635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000371918,"about_ca_topic_score_gemma":9.258851e-7,"domain_scores_codex":[0.9990841,0.00006086558,0.0001317149,0.0002785319,0.0001483206,0.000296509],"domain_scores_gemma":[0.9985391,0.001007349,0.00004203826,0.0003087504,0.0000366945,0.00006602279],"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":[0.0000360237,0.0002000214,0.05074163,0.0001034443,0.00009248641,0.0005834018,0.05374968,0.0005042265,0.06146086,0.04350507,0.3721206,0.4169025],"study_design_scores_gemma":[0.0007082139,0.0003622962,0.03592834,0.0001430157,0.00001425173,0.000165619,0.0004274907,0.8594409,0.01219718,0.00890169,0.08087891,0.0008321315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2999763,0.0003755908,0.6755575,0.002983914,0.01322414,0.0005395861,0.000001123695,0.001147644,0.006194193],"genre_scores_gemma":[0.9966905,0.00007322254,0.001708287,0.0004519605,0.000486851,0.00001681705,0.000001185703,0.000006332548,0.0005649204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8589366,"threshold_uncertainty_score":0.2952125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07684949163887667,"score_gpt":0.2799901387545715,"score_spread":0.2031406471156949,"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."}}