{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004306176,0.0003496049,0.0001726288,0.0003807442,0.00008602788,0.0003838008,0.0001841789,0.0001900679,0.0003538863],"category_scores_gemma":[0.0008955713,0.0001525722,0.0001350131,0.0003320217,0.0003989776,0.0005287464,0.0003195781,0.0001523992,0.00009041746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476218,"about_ca_system_score_gemma":0.00007622355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003209922,"about_ca_topic_score_gemma":0.0003269793,"domain_scores_codex":[0.9998349,0.00005144284,0.000005530178,0.00003797203,0.00005017732,0.00001998091],"domain_scores_gemma":[0.9993126,0.0003643415,0.0001376049,0.00007024553,0.00009233822,0.00002280339],"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":[0.0004520556,0.00008202177,0.01514921,0.00012476,0.00005329217,0.0002558498,0.0001549985,0.0541311,0.8883501,0.002680673,0.0001146966,0.03845134],"study_design_scores_gemma":[0.00003125332,0.0002665933,0.02940064,0.00001815497,0.00008455062,0.0003619774,0.0001134918,0.4076461,0.5600653,0.001348688,0.0006109764,0.00005232583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210912,0.0002679624,0.07665375,0.00004510711,0.00001178414,0.00001493916,0.00005469663,0.0001749151,0.00168564],"genre_scores_gemma":[0.9906034,0.0001250093,0.009077179,0.00001353136,0.000008197939,0.000003787059,0.00002925253,0.000007803484,0.000131907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004306176,"threshold_uncertainty_score":0.002277315,"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."}}