{"id":"W4385623931","doi":"10.1145/3608143.3608157","title":"Clinical Score Estimation for Determining Oro-Facial Dysfunction Severity","year":2023,"lang":"en","type":"article","venue":"","topic":"Facial Nerve Paralysis Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random forest; Artificial intelligence; Correlation; Computer science; Pattern recognition (psychology); Medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005049497,0.00008151046,0.0002188558,0.0001203576,0.0001335182,0.00001974672,0.00003485395,0.0001050002,0.0001573912],"category_scores_gemma":[0.0004279505,0.00005866859,0.0001767006,0.0002936002,0.00004836013,0.00005518127,0.00002699379,0.00009291452,0.0005131405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003448062,"about_ca_system_score_gemma":0.00006804578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001901824,"about_ca_topic_score_gemma":0.00002460668,"domain_scores_codex":[0.999068,0.00003379861,0.0002577438,0.0002189876,0.0002116824,0.0002097892],"domain_scores_gemma":[0.999458,0.0001744452,0.00003387468,0.0001372293,0.00009384688,0.0001025797],"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":[0.0005093196,0.000158851,0.3749228,0.0000780936,0.000118318,0.00002188464,0.00006092008,0.00004864513,0.0007854005,0.00007788273,0.007369932,0.6158479],"study_design_scores_gemma":[0.004618972,0.001215439,0.7508564,0.00005735898,0.0002147441,0.000009180717,0.00009816459,0.2340518,0.001706953,0.0003149727,0.006696051,0.0001599874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928949,0.0000070773,0.002991141,0.0008636165,0.0002936586,0.0005221806,0.000004478994,0.0001654703,0.002257513],"genre_scores_gemma":[0.98262,0.00002461721,0.003726541,0.0001141194,0.0002942795,0.00007174585,0.0002200955,0.00001285017,0.01291573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.615688,"threshold_uncertainty_score":0.6595554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1473928648978984,"score_gpt":0.4487441505197753,"score_spread":0.301351285621877,"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."}}