{"id":"W4409791018","doi":"10.61091/jcmcc127a-328","title":"Research on the picture hierarchy enhancement technique based on probability distribution in oil paintings","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hierarchy; Painting; Oil painting; Distribution (mathematics); Mathematics; Statistics; Environmental science; Artificial intelligence; Computer science; Art; Visual arts; Economics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004901089,0.0005172476,0.000407191,0.0009358503,0.0003406943,0.0007081004,0.0005720298,0.0003484723,0.001984634],"category_scores_gemma":[0.00132499,0.0003150147,0.0006998442,0.0007054389,0.0005014108,0.001944902,0.0005484209,0.0006540243,0.0003448054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961485,"about_ca_system_score_gemma":0.0004425814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036313,"about_ca_topic_score_gemma":0.001414308,"domain_scores_codex":[0.9995404,0.00005264786,0.00001950879,0.0001092602,0.0002397644,0.00003834303],"domain_scores_gemma":[0.9995783,0.0001256316,0.00005246195,0.00005465704,0.0001630361,0.00002594493],"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":[0.000214435,0.00009907569,0.002532259,0.0002999126,0.00007587129,0.0002717618,0.0003296573,0.07643715,0.196837,0.01888203,0.0018044,0.7022164],"study_design_scores_gemma":[0.00002475338,0.0001709818,0.004109155,0.00002766014,0.0000888498,0.0006183506,0.0001251887,0.8793319,0.1023451,0.00601884,0.007088172,0.0000511656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03830649,0.0007377962,0.9568163,0.0001768109,0.00004159715,0.00004163636,0.00002142496,0.0004552646,0.003402723],"genre_scores_gemma":[0.6405902,0.002161796,0.3490322,0.0001018988,0.00009935592,0.00006715964,0.00009219879,0.0001046938,0.007750442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002036313,"threshold_uncertainty_score":0.006639242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565484761043209,"score_gpt":0.2919760243241131,"score_spread":0.2763211767136811,"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."}}