{"id":"W20439063","doi":"","title":"Voting and Choquet Fusion — A System-of-Systems Error Resilient Comparison","year":2011,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Choquet integral; Modal; Sensor fusion; Voting; Context (archaeology); Computer science; Weighted voting; Majority rule; Property (philosophy); Fusion; Data mining; Artificial intelligence","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":[0.0138459,0.00093612,0.001762817,0.001243753,0.0007572796,0.002185032,0.001655407,0.001423145,0.002203856],"category_scores_gemma":[0.02734586,0.0003148555,0.001019831,0.001042253,0.001931344,0.003305953,0.002580171,0.001271968,0.0002487876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106046,"about_ca_system_score_gemma":0.0009053262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001607189,"about_ca_topic_score_gemma":0.0007109745,"domain_scores_codex":[0.9939439,0.003278419,0.0002505905,0.0007129106,0.001408528,0.0004056216],"domain_scores_gemma":[0.991209,0.005520329,0.0005930007,0.0009925951,0.001500826,0.0001841214],"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":[0.000971865,0.00008162329,0.002149953,0.0002181962,0.0003052398,0.0000949258,0.000335581,0.6396162,0.003966279,0.2488917,0.0009683059,0.1024001],"study_design_scores_gemma":[0.00003289582,0.0002778357,0.0007970475,0.0000207469,0.00004639342,0.00003992081,0.00006422019,0.9357914,0.001683716,0.06009266,0.001115269,0.00003792986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05334529,0.0005799369,0.9395894,0.0003749711,0.000157616,0.00009444242,0.00004501479,0.0001405587,0.005672774],"genre_scores_gemma":[0.9368999,0.0002697681,0.06109025,0.0001072024,0.00008004333,0.00007267179,0.00007073588,0.00005519575,0.001354167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0138459,"threshold_uncertainty_score":0.07322496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.071681226587624,"score_gpt":0.2761033197259293,"score_spread":0.2044220931383053,"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."}}