{"id":"W4390872047","doi":"10.1109/iccv51070.2023.01501","title":"Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Crowds; Computer science; Minification; Adaptation (eye); Entropy (arrow of time); Artificial intelligence; World Wide Web; Computer security; Psychology","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":[0.0003293567,0.00006544623,0.0000977114,0.0001098019,0.00006245531,0.0001109083,0.0007149685,0.00001798975,0.00004654149],"category_scores_gemma":[0.0002463129,0.00004638849,0.00002091516,0.0009484753,0.0000304917,0.0007492494,0.0004031702,0.00005412966,0.00006696572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001903993,"about_ca_system_score_gemma":0.00005439705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006369536,"about_ca_topic_score_gemma":0.000008741888,"domain_scores_codex":[0.9992054,0.0000499824,0.0002178574,0.0001935884,0.0001873489,0.0001458017],"domain_scores_gemma":[0.9993697,0.0001963302,0.00007223197,0.0002775317,0.00005983705,0.00002435452],"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":[0.00003051165,0.0001321299,0.001599111,0.00002668555,0.000008814755,0.00001455257,0.01036463,0.01903385,0.0373066,0.1278899,0.009290745,0.7943025],"study_design_scores_gemma":[0.0003063255,0.00002749708,0.005928247,0.00002113982,9.782641e-7,0.000001193525,0.0006226362,0.9823422,0.006805787,0.002577815,0.001301217,0.00006491848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006752651,0.00002223746,0.9755507,0.005906385,0.0001678259,0.00034364,0.000003009838,0.0001866548,0.0110669],"genre_scores_gemma":[0.8790342,0.00003255405,0.1191635,0.0005933373,0.00001378149,0.00001144774,0.000007285942,0.000007378192,0.001136507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9633084,"threshold_uncertainty_score":0.1891668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04802864822051757,"score_gpt":0.3219415565999181,"score_spread":0.2739129083794006,"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."}}