{"id":"W2489528053","doi":"","title":"Data Fusion for Mine Action Decision Support: An Example From Lebanon","year":2004,"lang":"en","type":"article","venue":"JMU Scholoraly Commons (James Madison University)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mine action; Decision support system; Operations research; Action (physics); Sensor fusion; Computer science; Mining engineering; Engineering; Data mining; Political science; Artificial intelligence; Law","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":[0.006806616,0.0004780778,0.0005883242,0.001831535,0.002216815,0.00337106,0.0008702468,0.001592434,0.001499731],"category_scores_gemma":[0.005049243,0.0001393207,0.0005543882,0.003591925,0.001218775,0.001712276,0.001664216,0.0009155693,0.0003752885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003139426,"about_ca_system_score_gemma":0.002908556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04384895,"about_ca_topic_score_gemma":0.03683023,"domain_scores_codex":[0.9978263,0.00106713,0.0001001274,0.0001017852,0.0006881343,0.0002164677],"domain_scores_gemma":[0.9958977,0.001775807,0.0001504984,0.0001629388,0.001859685,0.0001532845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001806579,0.0007535688,0.06382684,0.001206708,0.0003734783,0.00952323,0.008057217,0.07497464,0.00682112,0.06052758,0.03949611,0.7326329],"study_design_scores_gemma":[0.001229821,0.001413876,0.08286245,0.001436348,0.0005272629,0.002071231,0.03997087,0.3185959,0.02232236,0.1048882,0.4242546,0.0004270894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6611283,0.01733372,0.1159414,0.08119982,0.0009095647,0.0008670014,0.001829689,0.001335044,0.1194554],"genre_scores_gemma":[0.9374797,0.004150118,0.05125058,0.001721276,0.0001905854,0.0001361331,0.0006320024,0.00007003882,0.004369522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04384895,"threshold_uncertainty_score":0.08718741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3898994090914583,"score_gpt":0.4086261089501165,"score_spread":0.01872669985865816,"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."}}