{"id":"W4403483877","doi":"10.2139/ssrn.4990870","title":"Cic: Circular Image Compression","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Image (mathematics); Compression (physics); Image compression; Computer science; Computer vision; Artificial intelligence; Image processing; Materials science; Composite material","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":[0.000347064,0.001052265,0.0006379207,0.001587751,0.0006145299,0.001448395,0.0007475655,0.0009794086,0.02730384],"category_scores_gemma":[0.001515709,0.0002446941,0.0002863213,0.001858843,0.0006469073,0.001078925,0.001408186,0.001159721,0.0113517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592275,"about_ca_system_score_gemma":0.0007556857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097467,"about_ca_topic_score_gemma":0.0009640593,"domain_scores_codex":[0.9995424,0.00004167749,0.00002382231,0.00008471758,0.0002495168,0.0000579222],"domain_scores_gemma":[0.9993655,0.0001484591,0.0000445851,0.0002006026,0.0001797758,0.00006108479],"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":[0.0008373469,0.0001308956,0.0004356219,0.0003286151,0.00003398418,0.0003693567,0.00009934849,0.004176,0.04794295,0.06208375,0.1295857,0.7539765],"study_design_scores_gemma":[0.0004252644,0.0006906682,0.00320603,0.0002398803,0.000105552,0.003924912,0.0001502655,0.2473447,0.3118058,0.08209325,0.3499009,0.0001127244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03422949,0.004126179,0.8148671,0.001770373,0.002417832,0.0006499546,0.002770033,0.03390493,0.1052641],"genre_scores_gemma":[0.3726937,0.002207783,0.4786868,0.001398829,0.001765527,0.0007818085,0.008057278,0.002639739,0.1317686],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02730384,"threshold_uncertainty_score":0.09134048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029205606225406,"score_gpt":0.2876911569992824,"score_spread":0.2773991009370284,"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."}}