{"id":"W2781926993","doi":"10.2514/6.2018-0198","title":"Linear Array Interferometer Ambiguity Resolution","year":2018,"lang":"en","type":"article","venue":"2018 AIAA Information Systems-AIAA Infotech @ Aerospace","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Interferometry; Ambiguity; Resolution (logic); Optics; Computer science; Ambiguity resolution; Ambiguity function; Physics; Telecommunications; Artificial intelligence; Radar","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005912451,0.0003836377,0.0004226692,0.0004092199,0.0004704607,0.0003468431,0.0005507243,0.0002651307,0.0003459211],"category_scores_gemma":[0.0000353273,0.000372068,0.0001586855,0.0006978657,0.0002296936,0.002547531,0.0001579035,0.0004048365,0.003399051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863982,"about_ca_system_score_gemma":0.0001152584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000789357,"about_ca_topic_score_gemma":0.00001189617,"domain_scores_codex":[0.9976146,0.00007198042,0.0010216,0.0003000989,0.0003779712,0.0006138114],"domain_scores_gemma":[0.9975645,0.00003905741,0.0007126519,0.0009547997,0.0005775312,0.000151464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003654155,0.0009176836,0.1985461,0.0007227402,0.001834704,0.000002488204,0.01086943,0.002540193,0.008764764,0.4014933,0.31031,0.06363319],"study_design_scores_gemma":[0.001477435,0.0005349416,0.01019606,0.0001592132,0.00005851004,0.00001133325,0.001829381,0.01244774,0.009850477,0.0003436569,0.9622545,0.0008368026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3024829,0.00002587528,0.6446874,0.0005378185,0.002150442,0.001126322,0.0001435851,0.0008174626,0.04802818],"genre_scores_gemma":[0.9875997,0.00000261848,0.009960519,0.0001251805,0.0008462039,0.0001869281,0.0001882296,0.00002824022,0.0010624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6851168,"threshold_uncertainty_score":0.9998731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471344673773387,"score_gpt":0.2394618486395088,"score_spread":0.2247484019017749,"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."}}