{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115674,0.0001016382,0.0001253294,0.0001680103,0.0002524762,0.0001411373,0.0003671508,0.00003664902,0.00001196952],"category_scores_gemma":[0.0000504046,0.00009007028,0.00001313293,0.0003561847,0.0003955115,0.000348264,0.0001617011,0.00006453707,0.000009726193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000707972,"about_ca_system_score_gemma":0.00005387604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000525025,"about_ca_topic_score_gemma":0.00001757372,"domain_scores_codex":[0.9985567,0.00001017047,0.0001472054,0.0004658868,0.0003073468,0.0005127367],"domain_scores_gemma":[0.9995781,0.00003324754,0.00003548505,0.0001696601,0.00004493734,0.0001385412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004640231,0.00001887216,0.00004321135,0.00001658719,3.267247e-7,8.07864e-7,0.001360281,0.00004891838,0.994361,0.002001692,4.127953e-7,0.002101437],"study_design_scores_gemma":[0.0002281518,0.00003930332,0.001648069,0.0000140373,0.000001194091,0.000003203665,0.0001000426,0.08151726,0.9121621,0.004158047,0.000007682364,0.0001209116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144646,0.00001147835,0.1846301,0.000009768449,0.0001196588,0.0002782641,0.000002804435,0.00005715438,0.0004261368],"genre_scores_gemma":[0.9635121,0.000002882436,0.03628824,0.0000146146,0.00002332295,0.0001407336,2.187239e-7,0.00000811565,0.00000974501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1490475,"threshold_uncertainty_score":0.3672959,"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."}}