{"id":"W2022223579","doi":"10.1016/s0923-5965(03)00037-7","title":"Analysis of a hybrid fractal-predictive-coding compression scheme","year":2003,"lang":"en","type":"article","venue":"Signal Processing Image Communication","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fractal compression; Fractal transform; Fractal; Algorithm; Fractal analysis; Affine transformation; Mathematics; Offset (computer science); Computer science; Data compression; Image compression; Applied mathematics; Artificial intelligence; Mathematical analysis; Image processing; Geometry; Fractal dimension; Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002696336,0.0002909581,0.0003315861,0.0003726432,0.0002813726,0.0005381167,0.0004617233,0.0006416775,0.002673558],"category_scores_gemma":[0.001040096,0.0001178812,0.0002310908,0.0004092613,0.0004498059,0.0004579157,0.0003138731,0.0003000525,0.0002627529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499278,"about_ca_system_score_gemma":0.0003636308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164895,"about_ca_topic_score_gemma":0.001011804,"domain_scores_codex":[0.9998335,0.00002799454,0.000005019886,0.00001279271,0.0001049372,0.00001585235],"domain_scores_gemma":[0.9995234,0.0002607471,0.00004391429,0.00004620772,0.0001108803,0.00001476124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002631196,0.0000517769,0.0007718602,0.0001572481,0.00004301516,0.0004614701,0.0001183355,0.6091782,0.08227342,0.2311382,0.001352692,0.07419076],"study_design_scores_gemma":[0.000003128932,0.00001345404,0.0001170783,0.000003262296,0.000004755348,0.0000854741,0.000002858578,0.9944044,0.00202429,0.003089257,0.0002483495,0.00000363646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1538395,0.0008568459,0.82938,0.0004549785,0.00009101115,0.00007088719,0.00008823534,0.0002588716,0.01495974],"genre_scores_gemma":[0.9544886,0.000295695,0.03993446,0.00005593186,0.0000458965,0.00002971646,0.00005966159,0.00003169706,0.005058331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002673558,"threshold_uncertainty_score":0.008943975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264808512845087,"score_gpt":0.3329475095164338,"score_spread":0.2902994243879829,"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."}}