{"id":"W4412516649","doi":"10.1080/09205071.2025.2535651","title":"Dynamic parameter compensation algorithms for periodic nonlinearity errors in spatially separated heterodyne interferometers","year":2025,"lang":"en","type":"article","venue":"Journal of Electromagnetic Waves and Applications","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Astronomical interferometer; Nonlinear system; Compensation (psychology); Algorithm; Heterodyne (poetry); Computer science; Interferometry; Optics; Physics; Acoustics","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":[0.0005264198,0.0005733239,0.0003762977,0.0004287836,0.0003610491,0.0004625714,0.0008742473,0.0004318865,0.000653642],"category_scores_gemma":[0.001992216,0.0003410857,0.0003010936,0.0003983348,0.0003746586,0.0009738118,0.0006592734,0.0006984323,0.0003033055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524668,"about_ca_system_score_gemma":0.0008618109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893348,"about_ca_topic_score_gemma":0.002680339,"domain_scores_codex":[0.9995897,0.00005505773,0.00002480212,0.0001103754,0.0001939119,0.00002620464],"domain_scores_gemma":[0.9995283,0.0001462908,0.00009586926,0.00007751551,0.0001395717,0.00001251323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000197981,0.00005312138,0.001523489,0.0001118355,0.00004911711,0.00008667623,0.0002629824,0.3551365,0.1030734,0.01775101,0.0007898138,0.5209641],"study_design_scores_gemma":[0.000008336504,0.00003483548,0.0005003976,0.000007145075,0.000007370099,0.00005313566,0.00001475742,0.9770694,0.01913386,0.001749823,0.001407706,0.0000132653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01491912,0.0001156912,0.9843875,0.00003152493,0.00001395012,0.00001356333,0.000008549924,0.0001947506,0.0003152185],"genre_scores_gemma":[0.3988583,0.000239022,0.5984276,0.00004514351,0.00002682814,0.0001022468,0.00007225107,0.0001135939,0.002115032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001893348,"threshold_uncertainty_score":0.004008412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109128529456836,"score_gpt":0.2796550710646591,"score_spread":0.2685637857700908,"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."}}