{"id":"W4386211507","doi":"10.1109/icmew59549.2023.00040","title":"Conditional and Residual Methods in Scalable Coding for Humans and Machines","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Conditional entropy; Residual; Scalability; Artificial intelligence; Entropy (arrow of time); Coding (social sciences); Segmentation; Machine learning; Pattern recognition (psychology); Data mining; Algorithm; Principle of maximum entropy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004726708,0.00005500491,0.00008768994,0.0001161204,0.00008181293,0.0000663662,0.0000982703,0.00002454292,0.000004063262],"category_scores_gemma":[0.0001114823,0.00004721052,0.000009796787,0.0002226589,0.00003778186,0.0003724121,0.0001415994,0.00004319508,0.00000124532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006355624,"about_ca_system_score_gemma":0.00001006702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008259563,"about_ca_topic_score_gemma":0.000007643012,"domain_scores_codex":[0.9994951,0.00002860888,0.00009949807,0.0001954073,0.00005414229,0.0001271975],"domain_scores_gemma":[0.9994768,0.000369354,0.00001784846,0.00008435036,0.00002402912,0.00002761642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000150623,0.00002075856,0.008628729,0.00008223395,0.000009458858,0.00001388152,0.0003800047,0.000009585319,0.02459179,0.7181545,0.008063103,0.2400309],"study_design_scores_gemma":[0.0006216244,0.0001502963,0.03806211,0.00003341705,0.000003415224,0.00001457464,0.00005278145,0.05804304,0.09436552,0.8007509,0.007661168,0.0002412245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004144,0.00008975859,0.9942035,0.0006782462,0.00002140695,0.0001271147,0.000004408106,0.0002050599,0.0005265133],"genre_scores_gemma":[0.03549523,0.0001142206,0.963024,0.0002447306,0.00002300212,0.00002931836,0.000007796805,0.000004959908,0.001056777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2397896,"threshold_uncertainty_score":0.1925189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382716653985222,"score_gpt":0.4221074450970502,"score_spread":0.368280278557198,"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."}}