{"id":"W2998614106","doi":"","title":"Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach","year":2020,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council","keywords":"Graphical model; Bayesian network; Subnetwork; Computer science; Conditional independence; Probabilistic logic; Independence (probability theory); Conditional probability; Machine learning; Bayesian probability; Range (aeronautics); Artificial intelligence; Data science; Data mining; Mathematics; Statistics; Engineering; Computer security","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":[0.0194869,0.001398512,0.002001692,0.003602821,0.001392821,0.004635155,0.003835039,0.00339456,0.002843603],"category_scores_gemma":[0.0801909,0.001190382,0.002157711,0.004074723,0.002898223,0.008521143,0.004725049,0.003974223,0.0006225612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353454,"about_ca_system_score_gemma":0.001638337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006180635,"about_ca_topic_score_gemma":0.006533051,"domain_scores_codex":[0.980782,0.012692,0.0008358083,0.001965656,0.003324841,0.000399663],"domain_scores_gemma":[0.951165,0.04042924,0.002481316,0.002417323,0.003004719,0.0005023012],"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":[0.0001172132,0.00009147276,0.002844172,0.0002735551,0.0003312487,0.0002050759,0.001454765,0.30769,0.0008619709,0.4743111,0.002855734,0.2089637],"study_design_scores_gemma":[0.00001840367,0.00003066525,0.0003392307,0.00006774773,0.00006281046,0.00004469993,0.0001081342,0.7110087,0.0003634543,0.2858084,0.002111996,0.00003577911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002348108,0.0001117632,0.9960485,0.0004583522,0.00002209645,0.00002920019,0.00004194325,0.00007191687,0.0008680843],"genre_scores_gemma":[0.2432786,0.0005758692,0.7529861,0.0004402898,0.0002633762,0.0004645688,0.000284313,0.0001038571,0.001602989],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0194869,"threshold_uncertainty_score":0.1030577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06665857287836115,"score_gpt":0.233410624017155,"score_spread":0.1667520511387939,"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."}}