{"id":"W2163546104","doi":"10.1002/mop.28601","title":"Remote sensing enhancement of objects using horizontal polarization of beam wave incidence in random media","year":2014,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Optical and Acousto-Optic Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Polarization (electrochemistry); Microwave; Radar; Lidar; Remote sensing; Laser beams; Radar cross-section; Beam (structure); Optics; Laser; Physics; Computer science; Telecommunications; 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":[0.0001669038,0.0001549685,0.0003897378,0.0002436516,0.0000378748,0.000008692436,0.0001098506,0.000154978,0.000005601711],"category_scores_gemma":[0.0001003227,0.0001410446,0.00005095711,0.0003048917,0.0006156001,0.00006233754,0.000163383,0.0002619749,0.000001108492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000207846,"about_ca_system_score_gemma":0.00001785976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006785786,"about_ca_topic_score_gemma":0.000006344141,"domain_scores_codex":[0.9989586,0.0000194275,0.0003781258,0.0002568816,0.0001071258,0.0002798676],"domain_scores_gemma":[0.9994584,0.0001382299,0.0001283423,0.0002009251,0.00004400241,0.00003014719],"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":[0.00002628623,0.00003092199,0.00186135,0.00001903015,0.00002076088,0.000004704415,0.00007073463,0.000009024036,0.9375404,0.004534293,0.000001765997,0.0558808],"study_design_scores_gemma":[0.0009500035,0.00009573748,0.0002997217,0.0001371187,0.0000357255,0.000008337372,0.0004364235,0.004394683,0.9848791,0.008598304,0.000007342468,0.0001575548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7488891,0.00003130487,0.2502582,0.0004954144,0.00003879178,0.0001073635,0.000002322519,0.00002512417,0.0001523569],"genre_scores_gemma":[0.922408,0.000004400792,0.07749234,0.00005243402,0.00002648009,5.640256e-7,0.000004408219,0.000009329344,0.000002017779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1735189,"threshold_uncertainty_score":0.5751629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007417135097542233,"score_gpt":0.2108475736535894,"score_spread":0.2034304385560471,"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."}}