{"id":"W1987148375","doi":"10.1364/oft.2000.otuc3","title":"Sensitivity analysis of a CGH based interferometric setup for aspheric lens testing","year":2000,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Raytheon Technologies (Canada); Institut National d'Optique","funders":"","keywords":"Interferometry; Sensitivity (control systems); Computer science; Optics; Holography; Lens (geology); Measure (data warehouse); Physics; Electronic engineering; Engineering","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":[0.000600062,0.0001141882,0.0002919516,0.0003973869,0.00003995141,0.00006257576,0.0003074883,0.00004519656,0.0002868193],"category_scores_gemma":[0.0003109585,0.00009423229,0.0001695167,0.00381875,0.00003479471,0.0003061042,0.0000431877,0.00006179958,0.000008067732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003269504,"about_ca_system_score_gemma":0.00003089868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019295,"about_ca_topic_score_gemma":0.00003042628,"domain_scores_codex":[0.9989492,0.00005853264,0.0002686015,0.0002951907,0.0002103942,0.0002180444],"domain_scores_gemma":[0.9987367,0.0005430634,0.00006363846,0.0003721835,0.0002367302,0.00004772161],"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":[0.00008418786,0.0008742296,0.02985296,0.00009626367,0.000860516,0.000007353217,0.000208121,0.00152177,0.1046634,0.01157019,0.001188409,0.8490726],"study_design_scores_gemma":[0.0001418922,0.000568325,0.01466795,0.00002609106,0.0001491163,6.106155e-7,0.000004733008,0.9361238,0.04775001,0.0002580796,0.0001444886,0.0001648838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09327573,0.000008667475,0.881696,0.000156231,0.00002507549,0.0001678039,0.000004253792,0.0002594284,0.02440676],"genre_scores_gemma":[0.751756,8.735989e-7,0.2479313,0.0001657924,0.000006944078,0.00001052494,0.000001607804,0.000003443755,0.0001234896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.934602,"threshold_uncertainty_score":0.3842681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08623397263222958,"score_gpt":0.2854305443921896,"score_spread":0.19919657175996,"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."}}