{"id":"W7084077141","doi":"10.1109/infocomwkshps65812.2025.11152788","title":"Digital Semantic Communication with Neural Image Compression","year":2025,"lang":"en","type":"article","venue":"","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Image compression; Data compression; Communications system; Bandwidth (computing); Digital image; Compression artifact; Image quality; Entropy (arrow of time); Transform coding","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":[0.0002399075,0.000342009,0.0002659304,0.0004075047,0.0001981086,0.0003665391,0.0004603518,0.0004914555,0.001875179],"category_scores_gemma":[0.0008530018,0.00007532747,0.0001888405,0.0003761865,0.0003385902,0.0008626361,0.0005569662,0.0003890904,0.0004175396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119433,"about_ca_system_score_gemma":0.0002848303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009470229,"about_ca_topic_score_gemma":0.001186252,"domain_scores_codex":[0.9998479,0.00002087729,0.00001019478,0.00002586875,0.00007948002,0.00001562451],"domain_scores_gemma":[0.999759,0.00006088082,0.00003198104,0.00004267969,0.00009322644,0.00001227801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004532755,0.000150918,0.001073666,0.0003221928,0.0000525531,0.0004244666,0.0001787251,0.09061343,0.2588764,0.02471203,0.00568674,0.6174556],"study_design_scores_gemma":[0.00002268804,0.0001796501,0.0006365869,0.00003093485,0.00003199728,0.0004136677,0.00003786005,0.8606884,0.1224254,0.006997797,0.008501589,0.00003335979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09690084,0.001035055,0.8865469,0.0005387441,0.000243576,0.0001045783,0.0001632725,0.001823656,0.01264344],"genre_scores_gemma":[0.8073888,0.0005665084,0.1849809,0.000390869,0.0001620685,0.00007650278,0.0002353902,0.0000893477,0.006109486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001875179,"threshold_uncertainty_score":0.00627315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003395442000868514,"score_gpt":0.2303415695437915,"score_spread":0.2269461275429229,"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."}}