{"id":"W4322723545","doi":"10.1145/3586165.3586179","title":"A Brief Summary of PODC 2022","year":2023,"lang":"en","type":"article","venue":"ACM SIGACT News","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Operations research; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006232443,0.00139243,0.0009664789,0.006075362,0.002570446,0.01252445,0.002443919,0.003462221,0.229031],"category_scores_gemma":[0.01262059,0.0007735957,0.00106961,0.006406346,0.0005055052,0.004070776,0.003815666,0.003762857,0.2249581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004060232,"about_ca_system_score_gemma":0.009572497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009632142,"about_ca_topic_score_gemma":0.01457769,"domain_scores_codex":[0.9958474,0.0004552488,0.0003346248,0.0003408176,0.002390123,0.0006317715],"domain_scores_gemma":[0.9870646,0.0008379348,0.0004555308,0.0006742081,0.007445106,0.00352266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004872102,0.00004917855,0.00009205997,0.0003182787,0.000003304317,0.00003888021,0.000008130964,0.00008726584,0.0002013163,0.0008950077,0.9560763,0.0421815],"study_design_scores_gemma":[0.000006968318,0.00001881956,0.0003259737,0.0001215495,0.000002138265,0.00003510883,0.00001186989,0.00003850777,0.00008704863,0.0001924634,0.9991529,0.000006624019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001559281,0.03222093,0.01089841,0.03886758,0.2526366,0.002872691,0.03016364,0.006571076,0.6242098],"genre_scores_gemma":[0.006993618,0.02784006,0.007904029,0.03296315,0.05092555,0.00252336,0.05611938,0.003508667,0.8112222],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.229031,"threshold_uncertainty_score":0.7661849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1689774629311761,"score_gpt":0.4000661851885368,"score_spread":0.2310887222573607,"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."}}