{"id":"W2104345001","doi":"10.1109/icif.2010.5711858","title":"Measures of effectiveness for high-level fusion","year":2010,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Robustness (evolution); Sensor fusion; Computer science; Situation awareness; Workload; Data collection; Reliability engineering; Data mining; Engineering; 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":[0.01631566,0.001178219,0.001193501,0.006873614,0.0007132275,0.002785434,0.0008377315,0.001599547,0.003142188],"category_scores_gemma":[0.05595988,0.0002206099,0.0009782047,0.003120305,0.001998136,0.003925653,0.00167189,0.001115108,0.0008328759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470755,"about_ca_system_score_gemma":0.0007197103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005607738,"about_ca_topic_score_gemma":0.0006106799,"domain_scores_codex":[0.9798068,0.006402612,0.001821531,0.00136702,0.009841561,0.0007605633],"domain_scores_gemma":[0.9325081,0.04171303,0.009865327,0.006749351,0.008056584,0.001107553],"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":[0.00136268,0.000995246,0.1274984,0.002295159,0.001871909,0.0003263107,0.001296018,0.1325242,0.03277263,0.1942644,0.01064454,0.4941486],"study_design_scores_gemma":[0.0001617098,0.004295494,0.2521738,0.0008561002,0.001202243,0.002025498,0.003065131,0.3584449,0.0819417,0.2341586,0.06110887,0.0005659734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2607511,0.00659553,0.6505382,0.00202612,0.0003972145,0.0007013553,0.002433653,0.001442689,0.07511421],"genre_scores_gemma":[0.8913282,0.0006005052,0.104335,0.0002236343,0.0002211927,0.0003556049,0.0008616758,0.0001255121,0.001948613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01631566,"threshold_uncertainty_score":0.08628649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3631391937097609,"score_gpt":0.4469914579324498,"score_spread":0.08385226422268888,"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."}}