{"id":"W4399471895","doi":"10.1007/s00170-024-13876-2","title":"A video-based method for supporting automated facial mask customization","year":2024,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Personalization; Computer vision; Artificial intelligence; Computer graphics (images); World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004679481,0.0001250855,0.0001612874,0.0006111789,0.00008159834,0.0001424126,0.001457865,0.00007315174,0.00001266862],"category_scores_gemma":[0.0002604547,0.00008915391,0.0001575721,0.000152815,0.00003934194,0.0005795533,0.0001545277,0.0002879951,0.00001014264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718224,"about_ca_system_score_gemma":0.0001247837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002742687,"about_ca_topic_score_gemma":0.000001780466,"domain_scores_codex":[0.9988874,0.00003069772,0.0004117029,0.0001954366,0.0002737929,0.000200935],"domain_scores_gemma":[0.9987512,0.000359746,0.0003382045,0.0001734305,0.0003520599,0.00002532747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004695107,0.00009968261,0.00004356406,0.00005352109,0.0006630807,0.0003009051,0.0008004413,0.07078955,0.5798674,0.04149347,0.005221586,0.3001973],"study_design_scores_gemma":[0.0004683181,0.0001232964,0.00009672454,0.00009906452,0.00001820837,0.0002461097,0.0001198829,0.1850885,0.78442,0.01270015,0.01652336,0.00009645282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05384991,0.00007488223,0.928184,0.01539894,0.002079582,0.0001388606,0.000007541846,0.00018413,0.00008220057],"genre_scores_gemma":[0.8541317,0.00001141628,0.1451369,0.0004864932,0.0001411456,0.00001396854,0.000003634668,0.0000130825,0.0000616835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8002818,"threshold_uncertainty_score":0.3635591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009076172724951159,"score_gpt":0.327582517128626,"score_spread":0.3185063444036749,"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."}}