{"id":"W2768930898","doi":"10.1145/3157831.3157837","title":"Probabilistic bisimilarity distances","year":2017,"lang":"en","type":"article","venue":"ACM SIGLOG News","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Probabilistic logic; Statistical model; Computer science; Probabilistic relevance model; Probabilistic argumentation; Column (typography); Mathematics; Theoretical computer science; Probabilistic analysis of algorithms; Artificial intelligence; Geometry; Connection (principal bundle)","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":[0.0004181317,0.0001351012,0.0001702415,0.00004078001,0.0004833972,0.0006882118,0.003886906,0.00004584144,0.00001676466],"category_scores_gemma":[0.002945629,0.0001193682,0.0000748271,0.00009753794,0.0001429422,0.0009768982,0.001392361,0.0001266297,0.00007481288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000453436,"about_ca_system_score_gemma":0.0001201387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000129075,"about_ca_topic_score_gemma":0.0001636475,"domain_scores_codex":[0.9986748,0.0001225688,0.0001967538,0.0004602297,0.0002961149,0.0002495584],"domain_scores_gemma":[0.9965878,0.000555522,0.0001758626,0.002510967,0.00007640087,0.0000934634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001772373,0.0001738248,0.01934238,0.00004772036,0.00003511575,0.00006530629,0.0005218863,0.002779194,0.0001796679,0.5417314,0.009085094,0.4260207],"study_design_scores_gemma":[0.0003081482,0.00005119918,0.1470485,0.00002134461,0.000007625258,0.00001114589,0.00001046613,0.03897008,0.0002663554,0.7762139,0.03678969,0.0003015255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289272,0.0002032467,0.8253629,0.01794686,0.001972825,0.0004009003,0.00001366779,0.0003013479,0.02487105],"genre_scores_gemma":[0.830479,0.00001079873,0.1685193,0.0004886405,0.0001547882,0.00002169192,0.000002636514,0.000008126704,0.0003149953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7015519,"threshold_uncertainty_score":0.7222903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06332600992454658,"score_gpt":0.3533270686065424,"score_spread":0.2900010586819959,"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."}}