{"id":"W4396519754","doi":"10.18280/ts.410202","title":"Ensemble Stacking for Grading Facial Paralysis Through Statistical Analysis of Facial Features","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Facial Nerve Paralysis Treatment and Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial paralysis; Grading (engineering); Stacking; Computer science; Statistical analysis; Medicine; Mathematics; Statistics; Surgery; Engineering; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003889641,0.0002596463,0.0008274716,0.0006462065,0.0001716417,0.00009983232,0.0001148701,0.0001153069,0.001224344],"category_scores_gemma":[0.00006076812,0.0001961298,0.0007956137,0.001306642,0.0001428903,0.0001348434,0.00003382074,0.0001803632,0.0000194862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256751,"about_ca_system_score_gemma":0.0001166084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001710697,"about_ca_topic_score_gemma":0.0000964146,"domain_scores_codex":[0.9976193,0.00007807027,0.0005529783,0.0004999951,0.0007656197,0.000483998],"domain_scores_gemma":[0.999071,0.0003955298,0.00007012417,0.0001805414,0.0001407222,0.000142062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006786692,0.003603722,0.1109243,0.002891728,0.1000241,0.0008586781,0.01463713,0.006496717,0.2057109,0.06925732,0.02265342,0.4561553],"study_design_scores_gemma":[0.02090342,0.01156529,0.2820322,0.00111539,0.142231,0.00005351737,0.00402288,0.2613439,0.1596575,0.007805485,0.106099,0.003170455],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788709,0.001442721,0.1138464,0.0009800177,0.000215515,0.001351237,0.0009902029,0.0001560707,0.002146889],"genre_scores_gemma":[0.9939017,0.0000552391,0.003661138,0.00006321033,0.0002599681,0.0001092239,0.0009987766,0.00002697969,0.0009237361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4529849,"threshold_uncertainty_score":0.9996887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05329298532497733,"score_gpt":0.3747905075468507,"score_spread":0.3214975222218734,"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."}}