{"id":"W2133114708","doi":"10.1109/phycmp.1994.363676","title":"A fast algorithm for entropy estimation of grey-level images","year":2002,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Entropy (arrow of time); Pixel; Algorithm; Mathematics; Computer science; Artificial intelligence; Binary number; Data compression; Histogram; Pattern recognition (psychology); Image (mathematics); Physics; Arithmetic","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":[0.001255511,0.001317787,0.001048315,0.003118047,0.000846177,0.001980851,0.001436757,0.001277311,0.006575622],"category_scores_gemma":[0.004397749,0.00078605,0.0008674175,0.002344741,0.0008206649,0.00221981,0.00164554,0.001727786,0.004147904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087106,"about_ca_system_score_gemma":0.001054122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248347,"about_ca_topic_score_gemma":0.001568762,"domain_scores_codex":[0.9990425,0.0001605687,0.00008042034,0.000154445,0.0005025507,0.00005949038],"domain_scores_gemma":[0.9986737,0.0006291225,0.0001113871,0.0001647673,0.0003800776,0.00004091596],"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":[0.0001342198,0.00005245603,0.0004253263,0.000203581,0.00006933388,0.0001614698,0.0001532912,0.02828642,0.02825117,0.02789051,0.007121456,0.9072508],"study_design_scores_gemma":[0.0001078616,0.0001864645,0.001534783,0.00009233033,0.0000621672,0.001158427,0.00008016115,0.8329436,0.06321834,0.06206964,0.03841752,0.000128834],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006707826,0.0001360298,0.9977967,0.00002915588,0.00003640824,0.00005218289,0.00004587008,0.0008454801,0.0003873204],"genre_scores_gemma":[0.01572485,0.0002053856,0.9818741,0.00004009948,0.00006562409,0.0001980854,0.0002478106,0.0001903254,0.001453743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006575622,"threshold_uncertainty_score":0.02199763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013754039726744,"score_gpt":0.2580203188530032,"score_spread":0.2278827784557358,"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."}}