{"id":"W2128306307","doi":"10.5555/1161734.1161967","title":"Decision tree module within decision support simulation system","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Decision tree; Computer science; Decision support system; Incremental decision tree; Probabilistic logic; Shortest path problem; Tree (set theory); Influence diagram; Decision analysis; Data mining; Decision tree learning; Machine learning; Artificial intelligence; Theoretical computer science; Mathematics; Statistics; Graph","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005179762,0.0003221046,0.0003235757,0.0002571957,0.0002268838,0.0005320178,0.001014379,0.0001993765,0.00005123332],"category_scores_gemma":[0.0001840718,0.000297303,0.0001234664,0.0004593662,0.00005147642,0.001362926,0.0002639697,0.0002478926,0.0005026487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264219,"about_ca_system_score_gemma":0.0002394225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003345984,"about_ca_topic_score_gemma":0.00005543481,"domain_scores_codex":[0.9971851,0.00007400226,0.0007973757,0.0008335059,0.0007316472,0.0003784411],"domain_scores_gemma":[0.9975391,0.0003833894,0.0002719903,0.0009795376,0.0006077084,0.0002182717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004190599,0.0000439307,0.0001070662,0.0000115843,0.000007853005,0.00001124885,0.0006989869,0.8622048,0.0001289972,0.03667318,0.0000163525,0.1000541],"study_design_scores_gemma":[0.0009551093,0.0001591463,0.001114831,0.0003354163,0.00001013515,0.000011965,0.00005512351,0.9701231,0.0006125632,0.02614941,0.0001335463,0.0003396946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06941856,0.00001485506,0.9271935,0.0001424018,0.001016889,0.0002552338,0.000004543191,0.0005228981,0.001431179],"genre_scores_gemma":[0.8895215,0.000001561774,0.1100662,0.000184004,0.00008981293,0.00001146125,0.00001135937,0.00001961228,0.00009440888],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.820103,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269106624299621,"score_gpt":0.3030428193550132,"score_spread":0.260351753112017,"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."}}