{"id":"W2938214914","doi":"10.1007/s41095-019-0130-7","title":"Discernible image mosaic with edge-aware adaptive tiles","year":2019,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer vision; Artificial intelligence; Computer science; Image (mathematics); Enhanced Data Rates for GSM Evolution; Feature detection (computer vision); Image texture; Image processing; Computer graphics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033394,0.0001929542,0.0002093034,0.0001232956,0.00008374151,0.000117508,0.0004989541,0.00004899669,0.00007012636],"category_scores_gemma":[0.00003917318,0.0001546412,0.00005139527,0.0004578428,0.00009758691,0.001007158,0.0002096229,0.0001742328,0.0004032711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005691387,"about_ca_system_score_gemma":0.0001445111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004767643,"about_ca_topic_score_gemma":0.000001819638,"domain_scores_codex":[0.9985273,0.00004504835,0.0001960896,0.0004529002,0.0005115377,0.0002671119],"domain_scores_gemma":[0.9988664,0.0003895505,0.000107974,0.0002397101,0.0002735328,0.0001228638],"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":[0.0007172993,0.001567176,0.01152476,0.0003123272,0.0003445493,0.0004930894,0.00644786,0.01544516,0.006219791,0.2820728,0.02365899,0.6511962],"study_design_scores_gemma":[0.00286551,0.002902896,0.03946147,0.0004389813,0.00003409795,0.0001464259,0.0005081437,0.7694708,0.03571453,0.1391094,0.007558818,0.001788933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01762499,0.00009913016,0.9803423,0.0001842425,0.0001909364,0.0002747452,0.00001565644,0.0003668414,0.0009011191],"genre_scores_gemma":[0.7831298,0.000008265513,0.2161931,0.0002647233,0.0001039173,0.00002008532,0.00006351287,0.00002037937,0.0001963257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7655047,"threshold_uncertainty_score":0.6306084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140830557025784,"score_gpt":0.2877269184279415,"score_spread":0.2736438627253631,"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."}}