{"id":"W4400767051","doi":"10.1007/s11263-024-02181-w","title":"A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts","year":2024,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Adaptation (eye); Pattern recognition (psychology); Distribution (mathematics); Test (biology); Statistics; Artificial intelligence; Computer science; Mathematics; Psychology; Biology; Neuroscience","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":[0.006023173,0.001196595,0.002211548,0.002265364,0.0005691428,0.002233919,0.003258292,0.001670638,0.004162673],"category_scores_gemma":[0.04868247,0.0007584582,0.001468481,0.003601843,0.001212252,0.003978665,0.00244208,0.00179997,0.001015811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200514,"about_ca_system_score_gemma":0.002715413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004546299,"about_ca_topic_score_gemma":0.002360731,"domain_scores_codex":[0.9948414,0.001306639,0.0005007333,0.001437477,0.001436446,0.0004773492],"domain_scores_gemma":[0.9697958,0.02163226,0.001467958,0.003572762,0.002950689,0.0005806137],"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":[0.0003551541,0.000147042,0.01329776,0.0009013575,0.0002746372,0.000222812,0.0001445463,0.1773706,0.003579471,0.01872746,0.006317675,0.7786616],"study_design_scores_gemma":[0.00003462851,0.0003556756,0.0192125,0.0002632535,0.0002519271,0.001094056,0.0002355565,0.8761511,0.004697102,0.07891735,0.01870676,0.00008014115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.07557718,0.05687216,0.8499652,0.002490207,0.000396,0.0001747921,0.001278269,0.001963918,0.01128225],"genre_scores_gemma":[0.8191145,0.04026982,0.126455,0.001063779,0.001464194,0.0003227836,0.002979696,0.001037093,0.007293182],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006023173,"threshold_uncertainty_score":0.03185391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785575816386711,"score_gpt":0.3246482199964133,"score_spread":0.3067924618325462,"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."}}