{"id":"W2080694581","doi":"10.1111/1556-4029.12619","title":"Color Separation in Forensic Image Processing Using Interactive Differential Evolution","year":2014,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakeridge Health; Ontario Tech University","funders":"","keywords":"Computer science; Fingerprint (computing); Artificial intelligence; Computer vision; Sample (material); Differential (mechanical device); Process (computing); Pattern recognition (psychology); Engineering","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":[0.0009805552,0.0001491383,0.0002770336,0.0006302342,0.0001641291,0.0004768764,0.0005444881,0.00005579059,0.0000028361],"category_scores_gemma":[0.0004930809,0.0001161456,0.0000966341,0.001049352,0.0003957344,0.004565485,0.0001055479,0.0002035233,0.000004933045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756249,"about_ca_system_score_gemma":0.0002675998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002675612,"about_ca_topic_score_gemma":0.00007512001,"domain_scores_codex":[0.9980025,0.0001059817,0.0005668913,0.0002733352,0.0007398108,0.0003114855],"domain_scores_gemma":[0.9985182,0.0001504136,0.000723498,0.0001391423,0.0003750095,0.00009368832],"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":[0.000210874,0.0003018152,0.004211985,0.00006125247,0.00003544511,0.00005211756,0.003966166,0.006946264,0.0848772,0.02140211,0.0004619427,0.8774728],"study_design_scores_gemma":[0.0007752087,0.001003304,0.01192663,0.0003419922,0.00001811286,0.0004542069,0.0004217948,0.920013,0.02832883,0.03642406,0.00005718726,0.000235738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5987245,0.00002427091,0.3989666,0.0001538573,0.00141252,0.00007156621,2.237595e-7,0.00001635797,0.0006301237],"genre_scores_gemma":[0.9423355,0.00000123488,0.05736019,0.00004412573,0.0002431903,0.000001489716,2.264523e-7,0.000005250704,0.000008821213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9130667,"threshold_uncertainty_score":0.4736282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822711641517866,"score_gpt":0.2981094609939705,"score_spread":0.2798823445787919,"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."}}