{"id":"W4296736820","doi":"10.1364/cosi.2022.cth4c.3","title":"Wide angle imaging system image simulation for accurate neural network performances prediction.","year":2022,"lang":"en","type":"article","venue":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; ImmerVision (Canada)","funders":"","keywords":"Artificial neural network; Computer science; Pipeline (software); Distortion (music); Artificial intelligence; Image (mathematics); Computer vision","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":[0.0003076137,0.000385396,0.0002319561,0.0002237468,0.0002270646,0.0003708666,0.0005480076,0.0006376943,0.003303719],"category_scores_gemma":[0.001539764,0.0002299606,0.0002896736,0.0002558347,0.0001737405,0.0006274765,0.0002945673,0.0005661616,0.0002932434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007936576,"about_ca_system_score_gemma":0.0007181239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109738,"about_ca_topic_score_gemma":0.009598363,"domain_scores_codex":[0.9998993,0.00002344637,0.000005512819,0.00001852314,0.00003701684,0.00001619029],"domain_scores_gemma":[0.9994929,0.000288348,0.00004460366,0.0000391323,0.0001172452,0.00001777614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001818724,0.00001470724,0.0004853998,0.00001994042,0.000006934221,0.00001581798,0.00001687813,0.9942279,0.001493967,0.0007073661,0.0001506501,0.002842185],"study_design_scores_gemma":[0.000001192319,0.000005227816,0.00006778448,8.707385e-7,7.238336e-7,0.000002071202,0.00000205586,0.9992356,0.0005077436,0.00009397634,0.00008183843,9.545132e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3926798,0.0003881107,0.5889513,0.0003771087,0.0000867316,0.0001389816,0.0009022726,0.001082202,0.01539344],"genre_scores_gemma":[0.9500964,0.00009824398,0.04739605,0.00004327683,0.000005532238,0.00009099454,0.000227439,0.00007193444,0.001970145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01109738,"threshold_uncertainty_score":0.02206558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928303849423643,"score_gpt":0.2570243766452535,"score_spread":0.2377413381510171,"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."}}