{"id":"W4323826068","doi":"10.4171/owr/2022/8","title":"Mini-Workshop: Descriptive Combinatorics, LOCAL Algorithms and Random Processes","year":2023,"lang":"en","type":"article","venue":"Oberwolfach Reports","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algebraic combinatorics; Algorithm; Mathematics; Combinatorics","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":[0.0005666492,0.00021965,0.0003328414,0.0001242664,0.0002476345,0.0001118448,0.0001788855,0.00008266498,0.000005239579],"category_scores_gemma":[0.0003877347,0.0001886412,0.00004634467,0.0009538176,0.000148444,0.0009029977,0.0003990631,0.0001464881,0.00002513955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004333309,"about_ca_system_score_gemma":0.0001541374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001012616,"about_ca_topic_score_gemma":0.00003975908,"domain_scores_codex":[0.9979901,0.0000515928,0.0004664218,0.0006883686,0.0003954407,0.0004081085],"domain_scores_gemma":[0.9985294,0.000186205,0.0002357199,0.0006562858,0.000213966,0.0001784573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001883402,0.0008320951,0.02694634,0.002464463,0.0005600721,0.0447364,0.02610355,0.001642818,0.0012241,0.2409409,0.1430782,0.5112826],"study_design_scores_gemma":[0.003452476,0.0003500314,0.007095668,0.0006764472,0.00006633555,0.006249538,0.004835895,0.02287121,0.01083326,0.04556785,0.8957324,0.00226887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01621098,0.001430482,0.9779383,0.0003981326,0.00142152,0.0004087643,0.00001247971,0.0006827333,0.001496589],"genre_scores_gemma":[0.9634717,0.0003938971,0.02874132,0.0001221678,0.0001696185,0.0001900366,0.00007733067,0.00004476244,0.006789217],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.949197,"threshold_uncertainty_score":0.7692565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328383968418605,"score_gpt":0.2563696372297606,"score_spread":0.2330857975455745,"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."}}