{"id":"W4386065424","doi":"10.1109/cvpr52729.2023.00005","title":"Message from the 2023 General and Program Chairs","year":2023,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Computer science; Artificial intelligence; Robotics; Multimedia; Robot; Visual arts","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222982,0.00005609063,0.00006345494,0.00002142226,0.00005758531,0.00005274651,0.00003559384,0.00005813231,0.00009206298],"category_scores_gemma":[0.00001057903,0.00003451083,0.00002267215,0.0001763528,0.000008309502,0.00002613489,0.00001786272,0.0000743008,0.0001596463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007127105,"about_ca_system_score_gemma":0.000002108462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003625228,"about_ca_topic_score_gemma":0.00007402949,"domain_scores_codex":[0.9996457,0.00001459268,0.00008295826,0.00007519367,0.0000750309,0.0001065862],"domain_scores_gemma":[0.9998148,0.00004882643,0.000006336691,0.00009722835,0.000006653988,0.0000261721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001056705,0.000009306382,0.0012888,0.00001741936,0.00009442463,0.00001580942,0.0005000457,0.003172699,0.01300687,0.0006514012,0.4400196,0.541213],"study_design_scores_gemma":[0.0009485843,0.0001182188,0.04319663,0.00005847441,0.00002268018,0.000008285569,0.001053881,0.1787123,0.007709892,0.000363038,0.7674074,0.0004006688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823983,0.0001416301,0.0001877647,0.0001098013,0.001024368,0.0002541281,0.00001299967,0.001090958,0.01478011],"genre_scores_gemma":[0.9956392,0.00004185054,0.00005165822,0.00001947514,0.0004905786,0.0000471898,0.000007861552,0.00001351919,0.003688652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5408124,"threshold_uncertainty_score":0.2051983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152634749105217,"score_gpt":0.2498370686875136,"score_spread":0.2283107211964614,"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."}}