{"id":"W2053190088","doi":"10.1109/icassp.2013.6637894","title":"Natural scene segmentation based on a stochastic texture region merging approach","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Texture (cosmology); Computer science; Segmentation; Image texture; Computer vision; Image segmentation; Pattern recognition (psychology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007056334,0.000128347,0.00009910306,0.0001160771,0.00009460146,0.0001378798,0.0003397284,0.00004149641,0.00001325091],"category_scores_gemma":[0.00003926134,0.00009640689,0.00004416435,0.000347397,0.00002207665,0.0008536328,0.00006077678,0.000151828,0.00003603294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005328282,"about_ca_system_score_gemma":0.0000188123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001644711,"about_ca_topic_score_gemma":2.337281e-7,"domain_scores_codex":[0.9990849,0.00003438664,0.0001262595,0.0003203604,0.0002348293,0.0001992022],"domain_scores_gemma":[0.9993926,0.00005745431,0.0000601694,0.0003506262,0.00008394876,0.00005519596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002605922,0.0002090502,0.00005681008,0.00004201147,0.00001279336,0.00001051737,0.0002977519,0.003767991,0.0183779,0.01406269,0.009814105,0.9533224],"study_design_scores_gemma":[0.0002361987,0.0001029213,0.0002784505,0.00002699667,0.000002456386,0.00000857635,0.00003093477,0.9741802,0.02257415,0.002305327,0.00007711677,0.0001767058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003012458,0.00005125757,0.9957236,0.0005926665,0.00007570867,0.0003736459,1.217533e-7,0.0004744525,0.002407299],"genre_scores_gemma":[0.6677488,0.000001918382,0.3306147,0.001167613,0.00002833354,0.00003947397,0.000003973254,0.000006507579,0.0003887141],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9704122,"threshold_uncertainty_score":0.3931359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385007701140803,"score_gpt":0.2575055704547635,"score_spread":0.2436554934433555,"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."}}