{"id":"W4386075939","doi":"10.1109/cvpr52729.2023.01542","title":"Class Adaptive Network Calibration","year":2023,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Smoothing; Machine learning; Artificial intelligence; Class (philosophy); Code (set theory); Scalability; Artificial neural network; Calibration; Contextual image classification; Data mining; Image (mathematics); Mathematics; Computer vision","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003707476,0.001775556,0.001063919,0.001030955,0.0008975865,0.001703387,0.003633412,0.002322295,0.006046439],"category_scores_gemma":[0.0151761,0.0006234216,0.0008581387,0.001025145,0.001348369,0.003404,0.003254338,0.003539359,0.002438516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949348,"about_ca_system_score_gemma":0.001669329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003392344,"about_ca_topic_score_gemma":0.004311922,"domain_scores_codex":[0.9980417,0.0004238828,0.00009012066,0.0007104978,0.0005377421,0.0001960088],"domain_scores_gemma":[0.9965292,0.001040885,0.0004011304,0.0009780977,0.0009352917,0.000115367],"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":[0.0003627861,0.0002189933,0.004416376,0.0003264563,0.0001536653,0.0001172879,0.0003682178,0.3821464,0.01852918,0.0390933,0.01731128,0.5369561],"study_design_scores_gemma":[0.00002580539,0.00004778672,0.0005629084,0.00005200489,0.00002575177,0.00007195987,0.00003189672,0.965393,0.007749305,0.01839787,0.00761907,0.00002270439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02520818,0.000987431,0.9623082,0.0005573623,0.0002568054,0.0001563684,0.0001958689,0.003815547,0.006514336],"genre_scores_gemma":[0.5768764,0.0009601968,0.4031778,0.001495381,0.0002498499,0.0008401673,0.001446112,0.002099658,0.01285442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006046439,"threshold_uncertainty_score":0.02022737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016431155759341,"score_gpt":0.2619918875436199,"score_spread":0.2318275759860264,"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."}}