{"id":"W2761288201","doi":"10.1111/cgf.13274","title":"Group‐Theme Recoloring for Multi‐Image Color Consistency","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada First Research Excellence Fund","keywords":"Theme (computing); Consistency (knowledge bases); Computer science; Artificial intelligence; Color image; Computer vision; Image (mathematics); Image processing; World Wide Web","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":[0.001109198,0.0006828738,0.0005696071,0.0008678933,0.0006724352,0.0007663515,0.001528742,0.000534528,0.004555588],"category_scores_gemma":[0.002255717,0.0003526619,0.0007529071,0.0006213223,0.0007901844,0.001262499,0.002033849,0.001210476,0.0007995805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020844,"about_ca_system_score_gemma":0.0004296997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008870727,"about_ca_topic_score_gemma":0.00108023,"domain_scores_codex":[0.9992651,0.0001565601,0.00003172278,0.0001760138,0.0002679032,0.0001026659],"domain_scores_gemma":[0.9980797,0.0004026234,0.0001613434,0.000865483,0.0004036136,0.00008731877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004769368,0.0002820097,0.001711927,0.0003852006,0.00008933624,0.0004491318,0.0009236932,0.04402301,0.4554411,0.03659509,0.006399811,0.4532227],"study_design_scores_gemma":[0.00007895353,0.0003059661,0.001764773,0.00004131162,0.00007212713,0.0009561614,0.0002607797,0.4343053,0.5022941,0.02048063,0.03936642,0.00007357089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04075903,0.0001514576,0.9527347,0.00009237866,0.00004651572,0.00007901038,0.00002327278,0.002584307,0.003529351],"genre_scores_gemma":[0.3653654,0.0001399982,0.6295583,0.0001063807,0.00004197866,0.0001023067,0.00008280801,0.0008179384,0.003784829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004555588,"threshold_uncertainty_score":0.01523995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004088575321006,"score_gpt":0.3087094459312401,"score_spread":0.2586685601780301,"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."}}