{"id":"W4392003440","doi":"10.3897/jucs.121223","title":"Editorial","year":2024,"lang":"en","type":"editorial","venue":"JUCS - Journal of Universal Computer Science","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004140345,0.001903691,0.001449313,0.003093492,0.00243175,0.008871796,0.002830089,0.005340401,0.1781931],"category_scores_gemma":[0.0333038,0.0006021162,0.001521226,0.001226849,0.001595329,0.004529937,0.002077222,0.007337681,0.1375072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288477,"about_ca_system_score_gemma":0.004537689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215306,"about_ca_topic_score_gemma":0.00165791,"domain_scores_codex":[0.9942391,0.0007056246,0.0006384078,0.001092787,0.002847991,0.0004762117],"domain_scores_gemma":[0.967759,0.003831526,0.001808319,0.002179792,0.02026759,0.004153765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001667349,0.000005768049,0.00003115918,0.0001031462,0.000004079034,0.00006039646,0.00001304954,0.00001086813,0.00004436645,0.0004441063,0.9868301,0.01243623],"study_design_scores_gemma":[0.000009187954,0.000009688971,0.00008533913,0.0001967336,0.000005758037,0.0001558981,0.00003843224,0.00002255103,0.00007879929,0.0005803301,0.9988115,0.000005761136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001675646,0.007156878,0.0005604429,0.04974231,0.9105805,0.00009453685,0.0006158625,0.0004165994,0.03066531],"genre_scores_gemma":[0.003578536,0.01474907,0.0009903222,0.04566448,0.72659,0.0001447886,0.001403801,0.0005094543,0.2063694],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1781931,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007113966198159695,"score_gpt":0.2449139607966098,"score_spread":0.2377999945984502,"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."}}