{"id":"W4402015076","doi":"10.1007/978-3-031-70418-5_6","title":"Data-Driven Decision Support for Business Processes: Causal Reasoning and Discovery","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Data science; Management science; Engineering","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":[0.003198288,0.001084439,0.001005731,0.001944056,0.0005458905,0.004781343,0.00231668,0.001392991,0.005431846],"category_scores_gemma":[0.01116772,0.00110553,0.001161331,0.00225987,0.001119779,0.0053682,0.001341373,0.002762209,0.001423305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139088,"about_ca_system_score_gemma":0.001503994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269127,"about_ca_topic_score_gemma":0.002787175,"domain_scores_codex":[0.9983715,0.0004005,0.0001622751,0.0001970663,0.0007810763,0.00008757427],"domain_scores_gemma":[0.9914772,0.007283845,0.000188428,0.0004321225,0.0005155624,0.0001028781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003108164,0.0003953835,0.001212198,0.001155882,0.0002029765,0.0003703765,0.0005286746,0.1322528,0.004945572,0.2940603,0.0198509,0.544714],"study_design_scores_gemma":[0.00003258701,0.00003114514,0.0001629216,0.0001328319,0.00004696169,0.00009036413,0.00007269443,0.5908225,0.004801044,0.3853956,0.01838261,0.00002877198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004299305,0.002126828,0.9845353,0.001160634,0.0001212813,0.00007647017,0.0003808566,0.001574773,0.005724499],"genre_scores_gemma":[0.2132548,0.004263503,0.7746375,0.0003459406,0.0001772373,0.0001828282,0.001711977,0.0002907188,0.005135464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005431846,"threshold_uncertainty_score":0.01817137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346761132519033,"score_gpt":0.2609468432805642,"score_spread":0.2374792319553739,"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."}}