{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009439591,0.0008167883,0.0004799684,0.001534537,0.0001620821,0.0004538656,0.0003308992,0.0004370875,0.001458424],"category_scores_gemma":[0.003131914,0.00009680216,0.0004170996,0.0004921809,0.0001386349,0.0003289896,0.0003818057,0.00038147,0.0008036252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869547,"about_ca_system_score_gemma":0.0003895394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382902,"about_ca_topic_score_gemma":0.005482412,"domain_scores_codex":[0.9994292,0.0001088206,0.00006287397,0.0001456113,0.0001857879,0.00006770476],"domain_scores_gemma":[0.9989493,0.0002960943,0.0002157601,0.00008066209,0.0003858893,0.0000723289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00133356,0.0003914336,0.5133105,0.0001440473,0.0002449572,0.0002126363,0.00008246207,0.01749337,0.02416351,0.000354042,0.004968149,0.4373014],"study_design_scores_gemma":[0.00007734187,0.001002785,0.5680448,0.000063493,0.000156154,0.001215764,0.0002207283,0.4114629,0.0146847,0.0009963711,0.0020109,0.00006401492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703553,0.0008209018,0.1196943,0.0001910343,0.0001238184,0.0003112973,0.003635159,0.001091902,0.003776375],"genre_scores_gemma":[0.9693242,0.0002128004,0.02609873,0.00003159215,0.00004062753,0.00009713227,0.003136005,0.00002474303,0.001034021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003382902,"threshold_uncertainty_score":0.006726384,"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."}}