{"id":"W2288685579","doi":"","title":"Color Transfer and Colorization based on Textural Properties","year":2015,"lang":"en","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Grayscale; Coherence (philosophical gambling strategy); Pattern recognition (psychology); Image (mathematics); Color image; Color quantization; Enhanced Data Rates for GSM Evolution; Texture (cosmology); Image processing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004115241,0.0007100158,0.0005650443,0.001043702,0.0002597591,0.001084189,0.0009121899,0.0005097394,0.0032211],"category_scores_gemma":[0.001518559,0.0002857311,0.0006213164,0.0008324126,0.0007774756,0.001389497,0.0007060583,0.0009868987,0.0009939143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112118,"about_ca_system_score_gemma":0.0002920297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000593367,"about_ca_topic_score_gemma":0.000737894,"domain_scores_codex":[0.9996827,0.00004758203,0.00001166106,0.0001121299,0.000110846,0.00003510384],"domain_scores_gemma":[0.999317,0.0002148049,0.00008807837,0.0002250548,0.0001220298,0.00003303692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003005209,0.0001125024,0.0006232981,0.0002602112,0.00006584284,0.000111019,0.0001328949,0.02917007,0.5113333,0.01291173,0.001387607,0.4435909],"study_design_scores_gemma":[0.00003891316,0.0001924029,0.002173421,0.00002002501,0.00008736703,0.0005728694,0.00005533166,0.3968674,0.5810046,0.008457093,0.01047559,0.00005497415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02767777,0.0004914175,0.9678526,0.00007098538,0.0000451251,0.00005962708,0.00003729037,0.00117403,0.002591094],"genre_scores_gemma":[0.3812773,0.001089476,0.6085131,0.0001485763,0.0001026541,0.0000956473,0.000192729,0.0008323382,0.007748096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0032211,"threshold_uncertainty_score":0.01077563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197240465863372,"score_gpt":0.2317751207707925,"score_spread":0.2120510741844553,"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."}}