{"id":"W2913468736","doi":"10.1145/3310195.3310204","title":"JPEG column","year":2019,"lang":"en","type":"article","venue":"ACM SIGMultimedia Records","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"JPEG; JPEG 2000; Computer science; Coding (social sciences); Flexibility (engineering); Column (typography); Image quality; Data compression; Lossless JPEG; Image compression; Multimedia; Computer vision; Telecommunications; Image processing; Image (mathematics); Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002299242,0.0001899876,0.0002435767,0.0001282886,0.00006454779,0.00009604431,0.003241474,0.0001101158,0.0005516999],"category_scores_gemma":[0.0004877453,0.000177746,0.0000715395,0.0003870147,0.00004101511,0.001047239,0.001645185,0.0002482909,0.001797006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005832046,"about_ca_system_score_gemma":0.00006953699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004974652,"about_ca_topic_score_gemma":0.000007668151,"domain_scores_codex":[0.9982919,0.0000607495,0.0002796504,0.0006186232,0.0003639189,0.0003851485],"domain_scores_gemma":[0.9962577,0.0005372097,0.0001315099,0.002820977,0.00009406081,0.0001584926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000210537,0.0001388555,0.01351557,0.00002333463,0.00002245075,0.0000316318,0.0003380577,0.00001957391,0.01888704,0.005471103,0.1347075,0.8268238],"study_design_scores_gemma":[0.001566102,0.0004479525,0.009752191,0.000112009,0.000008968846,0.00004359245,0.00003876315,0.07755689,0.08130177,0.04183482,0.7861511,0.001185849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0325148,0.0002297701,0.9450402,0.001598176,0.00376196,0.000970659,0.00002073414,0.002590507,0.01327325],"genre_scores_gemma":[0.1476804,0.00006986292,0.8466913,0.0007599322,0.0001421979,0.00007645474,0.00002156879,0.00002752051,0.004530777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.825638,"threshold_uncertainty_score":0.9989802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142625200911713,"score_gpt":0.2642818728921535,"score_spread":0.2528556208830364,"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."}}