{"id":"W6990233099","doi":"","title":"Data-Driven Causal Decision Support for Business Process Management","year":2024,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; York University; Centre International de Recherche sur le Cancer","keywords":"Causal model; Business process; Process (computing); Outcome (game theory); Decision support system; Causal structure; Set (abstract data type); Resource (disambiguation); Business decision mapping","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01415561,0.001775787,0.001209657,0.004446161,0.001529164,0.004463993,0.003195051,0.00206292,0.01344821],"category_scores_gemma":[0.06135208,0.001009658,0.001872013,0.003622735,0.001300842,0.004483981,0.004300631,0.00394129,0.002300873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002841292,"about_ca_system_score_gemma":0.005963576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063029,"about_ca_topic_score_gemma":0.01553978,"domain_scores_codex":[0.9912538,0.004903789,0.0008054232,0.001189616,0.001643583,0.0002037716],"domain_scores_gemma":[0.9354045,0.05450119,0.002925984,0.004025273,0.002231265,0.0009118163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000678217,0.0007776167,0.007770778,0.001748567,0.0004008111,0.0006826357,0.0007845748,0.4128677,0.001617505,0.1591276,0.03700824,0.3765359],"study_design_scores_gemma":[0.0001351011,0.00002994413,0.0002653154,0.0001340266,0.00003032714,0.00004567032,0.00008658913,0.8203148,0.001095462,0.1638976,0.01393727,0.00002804604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004785025,0.0008044395,0.9723297,0.003186796,0.0001329618,0.0005780052,0.00486064,0.01006259,0.003259826],"genre_scores_gemma":[0.1366406,0.0006644547,0.8538528,0.0005108996,0.0001218024,0.0009098524,0.005879065,0.0003746712,0.00104592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01415561,"threshold_uncertainty_score":0.0748629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263965480649012,"score_gpt":0.2161223299667677,"score_spread":0.1934826751602776,"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."}}