{"id":"W4403871489","doi":"10.3390/e26110918","title":"A Comprehensive Method for Example-Based Color Transfer with Holistic–Local Balancing and Unit-Wise Riemannian Information Gradient Acceleration","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Transformation (genetics); Metric (unit); Artificial intelligence; Gaussian; Algorithm; Computer vision","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":[0.0002425992,0.0001445593,0.0001407853,0.0001517491,0.0001172599,0.0004237677,0.0001657963,0.00004048401,0.00000572788],"category_scores_gemma":[0.00001446785,0.0001192448,0.00003160707,0.0002372438,0.00004543221,0.001026638,0.00002832582,0.00009447277,0.00000529213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007341942,"about_ca_system_score_gemma":0.00007768692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005620023,"about_ca_topic_score_gemma":0.00001167127,"domain_scores_codex":[0.9990765,0.0000715892,0.0001998996,0.00023931,0.0001944509,0.000218242],"domain_scores_gemma":[0.9993497,0.0002309693,0.00002610495,0.0001940242,0.000137866,0.00006131305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004698851,0.0001072135,0.0001253178,0.0009271039,0.0001154659,0.00004261015,0.007775769,0.002424547,0.02794622,0.7352695,0.002995936,0.2218004],"study_design_scores_gemma":[0.000816798,0.0005018376,0.0005408687,0.0001016484,0.00002676135,0.00001225135,0.00007204786,0.897024,0.06982938,0.001030385,0.02984405,0.0001999123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01006951,0.00006129961,0.9879534,0.0005166432,0.0001539792,0.0007665446,0.00001246413,0.0003994561,0.00006670335],"genre_scores_gemma":[0.608903,0.000004343668,0.3902555,0.0005485907,0.00003393008,0.0001914635,0.00003741584,0.00000906703,0.00001674147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8945995,"threshold_uncertainty_score":0.486266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179598981152161,"score_gpt":0.2954948037724573,"score_spread":0.2636988139609357,"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."}}