{"id":"W2041027694","doi":"10.1109/icip.2010.5653405","title":"Generic image similarity based on Kolmogorov complexity","year":2010,"lang":"en","type":"article","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kolmogorov complexity; Similarity (geometry); Image (mathematics); Computer science; Set (abstract data type); Range (aeronautics); Theoretical computer science; Image retrieval; Computational complexity theory; Key (lock); Image processing; Image compression; Algorithm; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001538583,0.0004518052,0.001178793,0.003309543,0.0007677525,0.002286721,0.001533346,0.001059733,0.00197208],"category_scores_gemma":[0.01165259,0.0002395272,0.000912067,0.002042449,0.003270289,0.006465226,0.002915568,0.001162552,0.000295057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832748,"about_ca_system_score_gemma":0.0008677412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008982748,"about_ca_topic_score_gemma":0.0006924354,"domain_scores_codex":[0.9976157,0.0004681153,0.0001987889,0.0004620068,0.001096328,0.0001590155],"domain_scores_gemma":[0.9951535,0.00217702,0.0008093314,0.0009409158,0.0006252645,0.0002939118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001578057,0.00006162192,0.003021257,0.0002885916,0.00007572892,0.0002058094,0.000271048,0.1229248,0.0099287,0.766067,0.00156526,0.09543244],"study_design_scores_gemma":[0.00001567826,0.0001279721,0.00238383,0.00003136174,0.00002840829,0.0004194583,0.0000882589,0.4781454,0.003606444,0.5122538,0.002842304,0.00005701207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0524118,0.0006626755,0.9402074,0.0003329183,0.00005014749,0.00007759806,0.0001329757,0.000322408,0.005802154],"genre_scores_gemma":[0.795665,0.0006877397,0.2011793,0.0001271286,0.0001174466,0.0001693236,0.0003359739,0.0000907095,0.001627283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003309543,"threshold_uncertainty_score":0.01329762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567744049534726,"score_gpt":0.2650435367835368,"score_spread":0.2293660962881895,"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."}}