{"id":"W4402904222","doi":"10.1109/cvprw63382.2024.00168","title":"Uncovering the Hidden Cost of Model Compression","year":2024,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Compression (physics); Materials science","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":[0.002293386,0.0008870765,0.0008781763,0.0005705473,0.0004281972,0.00142332,0.001225489,0.00112597,0.0024667],"category_scores_gemma":[0.03362505,0.000676899,0.0004160576,0.0005834089,0.001433887,0.004440181,0.002318136,0.002903912,0.0004163091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009092808,"about_ca_system_score_gemma":0.001521357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987641,"about_ca_topic_score_gemma":0.002791151,"domain_scores_codex":[0.9989049,0.0004351914,0.00005254569,0.0002095341,0.0002680391,0.0001297522],"domain_scores_gemma":[0.9817758,0.01441362,0.0008277987,0.002220753,0.0005156253,0.0002462846],"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":[0.0005150659,0.0001514974,0.007711605,0.0003589362,0.00008948207,0.0004186711,0.0003953956,0.7694288,0.009730623,0.0537181,0.003164726,0.154317],"study_design_scores_gemma":[0.00001118817,0.00005019282,0.000619282,0.0000199831,0.00001271326,0.0000630791,0.00004231475,0.9691766,0.002178543,0.02733308,0.0004819129,0.0000110782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3275169,0.00146736,0.6615383,0.002999433,0.0001178508,0.00008405057,0.0004038924,0.001402501,0.004469771],"genre_scores_gemma":[0.958624,0.0004170904,0.03935156,0.0001757134,0.00004818034,0.00005243916,0.0003075711,0.0001135703,0.0009099273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002987641,"threshold_uncertainty_score":0.01212877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023735319520515,"score_gpt":0.2999342590397362,"score_spread":0.259696905844531,"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."}}