{"id":"W184990605","doi":"10.1007/978-1-4615-1527-2_5","title":"Partial Fractal Model for Hybird Image Coding","year":2001,"lang":"en","type":"book-chapter","venue":"The Kluwer international series on Asian studies in computer and information science","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fractal compression; Fractal transform; Fractal; Quadtree; JPEG; Image compression; Fractal analysis; Artificial intelligence; Computer vision; Mathematics; Computer science; Image processing; Data compression; Pattern recognition (psychology); Algorithm; Fractal dimension; Image (mathematics); Mathematical analysis","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":[0.0008352061,0.0002923509,0.0003707782,0.0003033692,0.0003472867,0.0004090332,0.0005824263,0.00009649037,0.00003791001],"category_scores_gemma":[0.0001579272,0.0002115152,0.0001036218,0.00007743154,0.0008344435,0.002492793,0.0004277545,0.0002621493,0.00002513863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678196,"about_ca_system_score_gemma":0.00006984543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.877867e-7,"about_ca_topic_score_gemma":0.00001159295,"domain_scores_codex":[0.99797,0.000007678038,0.0007621473,0.0002687315,0.0007262859,0.000265182],"domain_scores_gemma":[0.998377,0.0003639302,0.0004178503,0.0002687139,0.0005062156,0.00006625061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003660356,0.00002119372,0.00000152821,0.00008969686,0.00005074524,0.000001889008,0.002734604,0.0001664146,0.000001250579,0.9839987,0.002113596,0.01078377],"study_design_scores_gemma":[0.0003128767,0.00008069649,0.00001041508,0.0002422076,0.0000155314,0.00003089071,0.0003285926,0.5149436,0.000003332748,0.4346547,0.04910762,0.0002695872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001253259,0.00001611861,0.5943484,0.001331661,0.001039418,0.0006032978,0.0001091421,0.00005029043,0.4023764],"genre_scores_gemma":[0.5659801,0.003839642,0.2813497,0.01187071,0.003357567,0.0008388565,0.0002695787,0.0002593643,0.1322344],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5658548,"threshold_uncertainty_score":0.862534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06815985752585187,"score_gpt":0.3479480585701779,"score_spread":0.279788201044326,"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."}}