{"id":"W1860889222","doi":"10.1007/3-540-45129-3_15","title":"On the Representation of Visual Information","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Entropy (arrow of time); Representation (politics); Isotropy; Computer vision; Extension (predicate logic); Variation (astronomy); Image (mathematics); Pattern recognition (psychology); Information theory; Mathematics; Optics; Statistics","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":[0.0007694674,0.001308297,0.00156359,0.002173251,0.0004995524,0.003981907,0.002443844,0.001420726,0.00857532],"category_scores_gemma":[0.002796299,0.0006966505,0.001220362,0.004219629,0.001953524,0.005689793,0.002025422,0.001831876,0.00329195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007146165,"about_ca_system_score_gemma":0.0004297351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444323,"about_ca_topic_score_gemma":0.001810837,"domain_scores_codex":[0.9993964,0.0001317445,0.00005952928,0.000150612,0.0002049525,0.00005665884],"domain_scores_gemma":[0.9992051,0.0003237214,0.00005428967,0.0002320623,0.0001462771,0.00003860291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001242128,0.00003249866,0.0001262989,0.0006190385,0.00005821926,0.0001226676,0.0002541279,0.0139601,0.009972199,0.4001767,0.02464968,0.5499043],"study_design_scores_gemma":[0.0000254055,0.00007782382,0.0004810716,0.0002414216,0.0000711214,0.0004237906,0.0001147258,0.1556279,0.006747731,0.7529735,0.0831653,0.00005022815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002030367,0.01020802,0.9741138,0.0005096261,0.0004367069,0.0000457845,0.0003231263,0.0008856021,0.01144698],"genre_scores_gemma":[0.1193786,0.02810122,0.8096732,0.0008258491,0.001227666,0.0003273975,0.002599277,0.0009136632,0.036953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00857532,"threshold_uncertainty_score":0.0286873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939452168562057,"score_gpt":0.2974480177244668,"score_spread":0.2780534960388462,"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."}}