{"id":"W3199889862","doi":"","title":"PODC 2019 Chairs' Preface","year":2019,"lang":"en","type":"article","venue":"Principles of Distributed Computing","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005081314,0.00008704292,0.0001660523,0.00004946463,0.0002142458,0.0000582196,0.0003448254,0.00004792023,0.0002923135],"category_scores_gemma":[0.00008937268,0.00009010231,0.0000759352,0.0002720964,0.00007819317,0.00009031784,0.000245936,0.00008581587,0.000112337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000697164,"about_ca_system_score_gemma":0.00009892399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072531,"about_ca_topic_score_gemma":0.000209964,"domain_scores_codex":[0.9988682,0.00006890749,0.0002522868,0.0002066904,0.0003011561,0.0003027996],"domain_scores_gemma":[0.9993138,0.0001027465,0.0001704666,0.0002207513,0.0001230225,0.00006919934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001771823,0.0001905648,0.08570614,0.000111799,0.00008554455,0.000002302158,0.004548042,0.008816414,0.0001945476,0.8718145,0.001416055,0.02709634],"study_design_scores_gemma":[0.00113655,0.0001693822,0.140436,0.000426515,0.00005862014,0.000001042509,0.01605634,0.02894841,0.0005685008,0.002348054,0.8091385,0.0007120274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8768456,0.0001289618,0.01082327,0.001427304,0.0004565799,0.0004412621,0.00006194194,0.0001448666,0.1096702],"genre_scores_gemma":[0.9978874,0.00002647756,0.000613504,0.00002408467,0.00008734256,0.000001574398,0.00005960964,0.000005239622,0.001294726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8694665,"threshold_uncertainty_score":0.3674265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398501280863559,"score_gpt":0.2834861498568881,"score_spread":0.2595011370482526,"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."}}