{"id":"W2324724876","doi":"10.1109/tap.2014.2336655","title":"MMW Sensor for Hidden Targets Detection and Warning Based on Reflection/Scattering Approach","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Antenna (radio); Computer science; Reflectometry; Extremely high frequency; Radar; Object detection; Radiation pattern; Acoustics; Time domain; Optics; Remote sensing; Artificial intelligence; Telecommunications; Physics; Computer vision; Pattern recognition (psychology); Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002064691,0.0001664485,0.0001600642,0.0002316843,0.0003060248,0.00006519117,0.00002897486,0.00008771929,0.000006861241],"category_scores_gemma":[0.000006831368,0.0001550024,0.00006570269,0.0001630357,0.00003145781,0.000125168,3.399953e-7,0.000157589,0.000003758546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003525441,"about_ca_system_score_gemma":0.000004073387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009745681,"about_ca_topic_score_gemma":0.000009922357,"domain_scores_codex":[0.999261,0.00004528566,0.0001723376,0.0002488528,0.0001024746,0.000170011],"domain_scores_gemma":[0.9996799,0.00006581396,0.00003547283,0.0001071535,0.00004579683,0.00006589685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002319692,0.00009155247,0.00004132264,0.0003632407,0.00009466772,7.015353e-7,0.0003671223,0.04826361,0.7212592,0.00003724753,0.00001465748,0.2292347],"study_design_scores_gemma":[0.0004496693,0.0002136003,0.0001908342,0.00004669933,0.00005981675,0.000006992173,0.00008745457,0.9702393,0.02827764,0.00004194451,0.0002035231,0.0001825023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02269473,0.00003035905,0.9763521,0.00009992107,0.0001631652,0.0002488188,0.000006370864,0.0002164943,0.0001880645],"genre_scores_gemma":[0.9956655,0.00005474986,0.003837982,0.00009259472,0.00007240417,0.00008782333,0.000006869343,0.00003409139,0.0001480039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9729708,"threshold_uncertainty_score":0.6320815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479707725889197,"score_gpt":0.2169918221228664,"score_spread":0.2021947448639745,"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."}}