{"id":"W3186597391","doi":"10.18280/ts.380315","title":"An Approach of Detecting the Age of a Human by Extracting the Face Parts and Applying the Hierarchical Methods","year":2021,"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":"","keywords":"Artificial intelligence; Classifier (UML); Computer science; Pattern recognition (psychology); Face (sociological concept); Image (mathematics); Feature extraction; Machine learning","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":[0.001963044,0.00009748004,0.0001622584,0.00002764354,0.0004266023,0.0001407864,0.0004636501,0.00002678836,0.00002545908],"category_scores_gemma":[0.00004329802,0.00005014531,0.00009132722,0.000314886,0.0001422405,0.0001267132,0.0001273613,0.0002158271,2.33015e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007986633,"about_ca_system_score_gemma":0.0000264712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002385357,"about_ca_topic_score_gemma":0.000007568117,"domain_scores_codex":[0.9982297,0.0007934926,0.000295403,0.0002367166,0.0002809838,0.0001637186],"domain_scores_gemma":[0.9988502,0.0006140328,0.0001579601,0.0002917896,0.00005049508,0.00003552781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004242817,0.0001762741,0.0002935762,0.00003845561,0.0001223722,0.000003654984,0.01117364,0.0007124129,0.5751273,0.002746303,0.00002200456,0.4095798],"study_design_scores_gemma":[0.0008108706,0.0001622875,0.003020504,0.00007702458,0.0002105991,0.00006700512,0.02314334,0.6867809,0.2810741,0.002629224,0.001665957,0.0003581812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1970642,0.0002199017,0.8015589,0.000523141,0.00001504836,0.0001937972,0.000002417491,0.00001803989,0.0004045505],"genre_scores_gemma":[0.9751028,0.000006782821,0.02459555,0.0001866769,0.00002623127,0.00005062816,0.000004159508,0.000004909941,0.00002224789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7780386,"threshold_uncertainty_score":0.3281123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832141627897452,"score_gpt":0.326618400906509,"score_spread":0.2782969846275344,"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."}}