{"id":"W2376391492","doi":"","title":"A Grating Lobe Restrain Method in Large Aperture Compounding Array","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beamforming; Grating; Computer science; Main lobe; Phased array; Side lobe; Frequency band; Underwater; Aperture (computer memory); Array gain; Optics; Acoustics; Telecommunications; Antenna array; Physics; Bandwidth (computing); Antenna (radio); Geology","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":[0.0005043048,0.0001335874,0.0001500937,0.0001877472,0.0002031793,0.00008561655,0.0004294523,0.000077168,0.0005006703],"category_scores_gemma":[0.000002068481,0.000120841,0.00004268887,0.0004543206,0.00004191664,0.0001245318,0.00003147183,0.0002967662,0.0002618245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391735,"about_ca_system_score_gemma":0.00004583946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006673438,"about_ca_topic_score_gemma":0.001931815,"domain_scores_codex":[0.9986618,0.0001097259,0.000253708,0.0003665144,0.0001602022,0.0004480652],"domain_scores_gemma":[0.9993336,0.0002358875,0.00004848445,0.0002281731,0.00003756992,0.0001162664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005348378,0.0006457585,0.5885959,0.0002124721,0.0001021018,0.00007387716,0.01528592,0.004736447,0.08619355,0.001830306,0.002176762,0.3000935],"study_design_scores_gemma":[0.001606396,0.0001478868,0.3216304,0.00009700903,0.00002870476,0.0001917737,0.001084606,0.3142043,0.007699861,0.01819334,0.3339645,0.001151236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004295359,0.00006239572,0.986273,0.0001418639,0.00001299014,0.0005069015,0.0001007689,0.00006428911,0.008542469],"genre_scores_gemma":[0.3522249,0.000005370421,0.6471274,0.0003139846,0.00007576993,0.0000250692,0.0001332642,0.00000583597,0.00008837548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3479295,"threshold_uncertainty_score":0.5481988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726610950989363,"score_gpt":0.2844785473660749,"score_spread":0.2472124378561813,"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."}}