{"id":"W4406894623","doi":"10.1109/icecs61496.2024.10848620","title":"A Shift-Invariant Robust Deep Framework with Improved Classification Performance","year":2024,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Invariant (physics); Computer science; Artificial intelligence; Pattern recognition (psychology); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00056722,0.0009829561,0.0005567977,0.0006087671,0.0002440477,0.0006240672,0.001173434,0.0007822482,0.002480571],"category_scores_gemma":[0.0006882839,0.0002632172,0.0005123409,0.0005758129,0.0003815939,0.00107898,0.000867425,0.001070454,0.00163031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005836594,"about_ca_system_score_gemma":0.0007831305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003373963,"about_ca_topic_score_gemma":0.005706278,"domain_scores_codex":[0.9997337,0.0000372194,0.00001145358,0.00008696876,0.00008931214,0.0000413339],"domain_scores_gemma":[0.9998015,0.00002770814,0.00002433246,0.00004875315,0.0000827764,0.00001491786],"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":[0.0001761782,0.000168194,0.0008293575,0.00008921316,0.0001112199,0.00009463016,0.00004475621,0.1982716,0.087401,0.0148603,0.006536312,0.6914173],"study_design_scores_gemma":[0.000004394046,0.00005129575,0.0002527959,0.000004780321,0.00001435955,0.00003480633,0.000005813653,0.9860435,0.008744557,0.003293557,0.001541716,0.000008498729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0256826,0.0005793317,0.9685305,0.000230598,0.00009594564,0.00004190516,0.0001816332,0.001795372,0.002862125],"genre_scores_gemma":[0.5966265,0.0006929867,0.3868987,0.0003872401,0.0001834408,0.0001008467,0.00122779,0.0002631673,0.01361942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003373963,"threshold_uncertainty_score":0.008298337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033842065158687,"score_gpt":0.2285093996329838,"score_spread":0.208170978981397,"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."}}