{"id":"W2155854326","doi":"10.5539/mas.v5n3p136","title":"A Composite Detection and Disposal Scheme for Explosive Embedded in Building","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Explosive material; Explosive detection; Computer science; Scheme (mathematics); Radar; Environmental science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007726792,0.0004105536,0.0003161115,0.0008687186,0.0003655273,0.0004110362,0.0008607341,0.0005389477,0.001390891],"category_scores_gemma":[0.001211785,0.0001592181,0.0002373857,0.0002787231,0.0003586263,0.0007490537,0.0006193158,0.0003402357,0.0004378035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450281,"about_ca_system_score_gemma":0.0003041919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391857,"about_ca_topic_score_gemma":0.0004937198,"domain_scores_codex":[0.9993357,0.0001148273,0.00004344338,0.0001165334,0.0003436295,0.00004587446],"domain_scores_gemma":[0.9992263,0.0001234533,0.0001189273,0.0001665414,0.0003068104,0.00005793587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001220174,0.0002419769,0.004591939,0.0003398657,0.00004957211,0.0003126747,0.000264412,0.01560219,0.3334267,0.007360792,0.001513047,0.6350768],"study_design_scores_gemma":[0.0001582768,0.004781722,0.01294438,0.00007280443,0.000237388,0.003755322,0.0001941327,0.3749564,0.580394,0.005300046,0.01704908,0.0001565259],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1457657,0.0004167379,0.847903,0.0001210524,0.00009070923,0.0003352886,0.00005669368,0.00144324,0.003867517],"genre_scores_gemma":[0.6684853,0.0002000248,0.3264341,0.00005115902,0.00002348468,0.0001053789,0.0000868359,0.00002661189,0.004587059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001390891,"threshold_uncertainty_score":0.004653037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033696402610596,"score_gpt":0.2778462171885538,"score_spread":0.2441498145779578,"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."}}