{"id":"W4377832608","doi":"10.18280/ts.400221","title":"Face Mask Segmentation Method Combining Salient Features and Gender Constraints","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Salient; Segmentation; Face (sociological concept); Artificial intelligence; Computer vision; Computer science; Pattern recognition (psychology); Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005189942,0.0001180329,0.0001308437,0.0001681015,0.0001398864,0.0001773468,0.0001669403,0.00003419539,0.0002216878],"category_scores_gemma":[0.000008723866,0.0001089477,0.00005807863,0.0003897799,0.00004360271,0.000207506,0.00008670353,0.0000774067,0.00007774401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524204,"about_ca_system_score_gemma":0.00002186858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004824117,"about_ca_topic_score_gemma":0.000001938048,"domain_scores_codex":[0.9988422,0.0001206872,0.0001834376,0.0003078656,0.0003064305,0.0002393903],"domain_scores_gemma":[0.9995878,0.0001027172,0.00006339439,0.0001048569,0.00003484803,0.0001063898],"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":[0.00001999619,0.0002179211,0.001916293,0.0001177077,0.0004544721,0.0000890202,0.02233094,0.007503989,0.07655589,0.03941786,0.01300089,0.838375],"study_design_scores_gemma":[0.004880439,0.0003138217,0.03659731,0.0001059136,0.00021818,0.0001013017,0.01129916,0.8801254,0.04652835,0.01747373,0.00115054,0.00120582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03572289,0.00004268859,0.9616385,0.001145193,0.00009683667,0.0001624072,0.00001200125,0.000229601,0.0009499025],"genre_scores_gemma":[0.95569,0.00003328752,0.04315633,0.0008152059,0.00002633401,0.0000228854,0.00003854769,0.000007067515,0.0002103633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9199671,"threshold_uncertainty_score":0.4442758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078981505591948,"score_gpt":0.3037998554255382,"score_spread":0.2630100403696187,"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."}}