{"id":"W7094319756","doi":"","title":"Metis : an integrated reference architecture for addressing uncertainty in decision-support systems:","year":2015,"lang":"en","type":"article","venue":"TNO Repository","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Domain (mathematical analysis); Architecture; Probabilistic logic; Visualization; Reference architecture; Information visualization; Information system; Raw data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004795863,0.0009198499,0.001119805,0.002206024,0.001183493,0.006735913,0.00453292,0.001955718,0.009041835],"category_scores_gemma":[0.007737833,0.0007163129,0.001167778,0.001845646,0.001525282,0.005587893,0.005373251,0.002211045,0.002888335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900111,"about_ca_system_score_gemma":0.004020925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007104753,"about_ca_topic_score_gemma":0.006728886,"domain_scores_codex":[0.9977238,0.00056998,0.0002066344,0.000393641,0.0009294553,0.0001764652],"domain_scores_gemma":[0.9978631,0.0005421622,0.0001711853,0.0006426318,0.000600485,0.0001805048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000706913,0.0002761111,0.002748745,0.0005891265,0.0002597648,0.0005608148,0.00198291,0.169551,0.01763868,0.3450493,0.02986563,0.430771],"study_design_scores_gemma":[0.0000956118,0.0002840239,0.0006760068,0.0002577919,0.0001492695,0.0002596127,0.0004085736,0.733319,0.01645546,0.09244163,0.155552,0.0001011645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005977027,0.000447221,0.9709486,0.0008238372,0.00009564588,0.0001816027,0.0003365226,0.01256546,0.008624121],"genre_scores_gemma":[0.1996475,0.001037827,0.7816486,0.0003004208,0.0001438352,0.000472559,0.003496328,0.001319908,0.01193294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009041835,"threshold_uncertainty_score":0.03024799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06582008179124979,"score_gpt":0.3033505033720417,"score_spread":0.2375304215807919,"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."}}