{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002195353,0.0003597708,0.0006313566,0.001838259,0.0002572704,0.001859284,0.005679017,0.0004058024,0.00001623811],"category_scores_gemma":[0.0002888534,0.0003011627,0.0005235241,0.00272945,0.0004249138,0.002402614,0.001250579,0.001801171,0.0001709911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134187,"about_ca_system_score_gemma":0.004260945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001336416,"about_ca_topic_score_gemma":0.000002710173,"domain_scores_codex":[0.9939586,0.0001051309,0.0006996306,0.0007153962,0.004000911,0.0005203116],"domain_scores_gemma":[0.9949556,0.0004600232,0.0007578259,0.0006119688,0.002757982,0.0004566134],"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":[0.000007446027,0.00003858983,2.730171e-7,0.0000269319,0.00006511715,0.0001834787,0.0002034792,0.0001259238,0.00006026164,0.0007041792,0.9845599,0.01402443],"study_design_scores_gemma":[0.0003762825,0.0003493996,5.851306e-7,0.0003077425,0.00008823104,0.00004240678,0.00001374896,0.02312797,0.00007782938,0.001356937,0.9739216,0.0003372657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000006732917,0.0001542686,0.3282841,0.0003116573,0.6708097,0.00003633222,0.000009447307,0.00005888071,0.0003288855],"genre_scores_gemma":[0.0001387667,0.000213638,0.0345682,0.0000529791,0.9646929,2.757787e-7,0.000003063955,0.0000175782,0.0003126148],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2938832,"threshold_uncertainty_score":0.999944,"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."}}