{"id":"W2923187500","doi":"10.5539/cis.v12n2p1","title":"Portrait Extraction Algorithm Based on Face Detection and Image Segmentation","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jinan University","keywords":"Computer science; Artificial intelligence; Face (sociological concept); Preprocessor; Segmentation; Face detection; Image (mathematics); Computer vision; Image segmentation; AdaBoost; Algorithm; Pattern recognition (psychology); Facial recognition system; Support vector machine","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":[0.0005268059,0.0001019091,0.00007823412,0.000409466,0.0002833955,0.0007114634,0.0001809757,0.00003622265,0.00000914281],"category_scores_gemma":[0.00001123627,0.00009280206,0.00002134186,0.0006189423,0.00008289421,0.01151964,0.00007450108,0.00009227482,0.00009710037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004881039,"about_ca_system_score_gemma":0.00004356473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006000188,"about_ca_topic_score_gemma":3.257862e-7,"domain_scores_codex":[0.9989057,0.00002500419,0.0002271641,0.0002528377,0.0004292272,0.0001600766],"domain_scores_gemma":[0.9994165,0.00002830681,0.0001267854,0.0001881294,0.0001476847,0.00009262223],"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":[0.000005429489,0.00001797603,0.0001465135,0.00001675256,0.000001162527,2.658025e-7,0.0004959441,0.0005818671,0.008635574,0.001706711,0.00001660703,0.9883752],"study_design_scores_gemma":[0.0003636536,0.0002601778,0.0440216,0.00001155401,0.000001291605,0.00002463554,0.00006943332,0.9457446,0.008444147,0.00008441909,0.0008564954,0.0001179995],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09010632,0.000002901515,0.9072937,0.0001570909,0.0006897076,0.0002144879,0.000001124032,0.0001149681,0.001419713],"genre_scores_gemma":[0.9506081,0.000008217392,0.04846163,0.0008651816,0.00002408724,0.000007393922,0.000003298701,0.000002068734,0.00001998642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9882572,"threshold_uncertainty_score":0.8351462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007584389339873399,"score_gpt":0.2628884550753487,"score_spread":0.2553040657354754,"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."}}