{"id":"W4378187917","doi":"10.18280/ria.370206","title":"Application of Median and Mean Filtering Methods for Optimizing Face Detection in Digital Photo","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Face recognition and analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Ahmad Dahlan","keywords":"Median filter; Artificial intelligence; Face (sociological concept); Computer science; Computer vision; Mathematics; Image processing; Image (mathematics); Philosophy","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":[0.001638258,0.0006887164,0.0007479118,0.001705483,0.0005657052,0.0008840616,0.0005752555,0.0007060657,0.00216097],"category_scores_gemma":[0.003465073,0.0003083945,0.0008929661,0.001243617,0.0004087191,0.001064949,0.0004287317,0.0004655305,0.0006580841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005300284,"about_ca_system_score_gemma":0.0007641129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695995,"about_ca_topic_score_gemma":0.003114206,"domain_scores_codex":[0.9990472,0.0001432624,0.0000666206,0.0002306514,0.0004370663,0.00007518539],"domain_scores_gemma":[0.9991993,0.0003736157,0.00007773196,0.00006428058,0.0002661186,0.00001888653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003390081,0.0001302015,0.003752443,0.0002412183,0.0001142327,0.0001014486,0.0001978977,0.03054595,0.06224972,0.003561594,0.001705761,0.8970605],"study_design_scores_gemma":[0.00004005767,0.0006222181,0.0240006,0.00007029931,0.00019964,0.0007441971,0.000296539,0.790022,0.1634551,0.007865623,0.01255558,0.0001279995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0410575,0.0006854407,0.9553236,0.0001041741,0.00007950937,0.00006252319,0.00008785405,0.0008645109,0.001734855],"genre_scores_gemma":[0.2637641,0.0006334375,0.7327617,0.00006388091,0.00004967559,0.000126244,0.0001897285,0.000109658,0.00230166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002695995,"threshold_uncertainty_score":0.008664072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0511390575898276,"score_gpt":0.3297598707188824,"score_spread":0.2786208131290547,"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."}}