{"id":"W6910481429","doi":"10.48448/sa0e-z741","title":"Online Class-Incremental Continual Learning with Adversarial Shapley Value","year":2021,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adversarial system; Variety (cybernetics); Class (philosophy); Stability (learning theory); Task (project management); Shapley value; Focus (optics); Value (mathematics)","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":[0.003002565,0.0013906,0.001680373,0.0006504066,0.0005118333,0.001110272,0.003438249,0.001748288,0.003412378],"category_scores_gemma":[0.006310889,0.0005062782,0.0009308565,0.0006012156,0.001596894,0.002898836,0.002593308,0.003174891,0.0008767758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040953,"about_ca_system_score_gemma":0.0011147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431765,"about_ca_topic_score_gemma":0.002847631,"domain_scores_codex":[0.9989821,0.0003531044,0.00005655536,0.0002862012,0.000218598,0.000103284],"domain_scores_gemma":[0.9966612,0.001864641,0.0002876134,0.0006118433,0.0003967615,0.0001779677],"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":[0.0003454773,0.0002625569,0.002075871,0.000134811,0.0001415445,0.0001180226,0.0001317659,0.7678723,0.002690649,0.01253303,0.004716484,0.2089775],"study_design_scores_gemma":[0.000008668836,0.00004289166,0.00007915405,0.00000587085,0.000005905835,0.00001939792,0.000006307224,0.9932434,0.0005615773,0.005784378,0.000235758,0.00000668018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06403976,0.001289158,0.9275653,0.0007642684,0.0001580371,0.0001315678,0.0002120567,0.002355576,0.003484254],"genre_scores_gemma":[0.8797944,0.0003661508,0.1118071,0.0005319028,0.0001509015,0.0001578968,0.0005178966,0.000181012,0.006492779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003438249,"threshold_uncertainty_score":0.01587927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328614890099501,"score_gpt":0.3160382632675734,"score_spread":0.2927521143665784,"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."}}