{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001754237,0.0009116147,0.0005634906,0.001364923,0.0003842472,0.0006419852,0.0009236028,0.001032237,0.00134404],"category_scores_gemma":[0.004504083,0.0003781754,0.0003604311,0.0008840056,0.0006455831,0.0005697673,0.0007313305,0.0004681185,0.0002511599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415594,"about_ca_system_score_gemma":0.0004196347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148565,"about_ca_topic_score_gemma":0.001125488,"domain_scores_codex":[0.9954919,0.001322747,0.000139467,0.0004610101,0.002335462,0.0002494269],"domain_scores_gemma":[0.9967102,0.001942478,0.0002993147,0.0004187782,0.0005407998,0.0000883405],"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":[0.0007720162,0.0001317177,0.005446713,0.0003220187,0.0001269097,0.0004485797,0.00029922,0.02455523,0.9050994,0.002933012,0.0005293675,0.05933583],"study_design_scores_gemma":[0.00004441578,0.002075818,0.01754702,0.0000327508,0.0001134282,0.000996926,0.0001249858,0.1222145,0.8519561,0.001390024,0.003375942,0.0001280925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4899328,0.001431596,0.4993818,0.0004029135,0.0001347976,0.0005546563,0.0004312622,0.002000939,0.00572935],"genre_scores_gemma":[0.9361297,0.0002190516,0.06260688,0.0001322042,0.00002888886,0.0001035547,0.0001171207,0.00004451649,0.0006181325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001754237,"threshold_uncertainty_score":0.01027089,"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."}}