{"id":"W4200627589","doi":"10.2196/35433","title":"Use of Artificial Intelligence as a Predictor of the Response to Treatment in Alopecia Areata","year":2021,"lang":"en","type":"article","venue":"Iproceedings","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alopecia areata; Dermatology; Medicine; Scalp; Psoriasis; Predictive value; Disease; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009605972,0.0003202622,0.0003376915,0.001321038,0.0001778075,0.000701951,0.0002487342,0.0003792291,0.0007491733],"category_scores_gemma":[0.004955527,0.0000694563,0.0004171694,0.000462595,0.0002143363,0.0002911396,0.0002403239,0.0003773549,0.0001263619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705865,"about_ca_system_score_gemma":0.0002063455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009354813,"about_ca_topic_score_gemma":0.000688997,"domain_scores_codex":[0.9994805,0.0001970106,0.00007648081,0.00008936755,0.0001107029,0.00004594889],"domain_scores_gemma":[0.9967609,0.002143294,0.0004510055,0.0001073896,0.000393954,0.000143445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001332889,0.000587985,0.8000546,0.0001344549,0.0002498546,0.0002770412,0.0001526626,0.0246289,0.004782572,0.0001061333,0.0008272749,0.1668656],"study_design_scores_gemma":[0.00006192463,0.001350691,0.4926828,0.00007069095,0.0003312144,0.0008923456,0.0003125943,0.495323,0.006886765,0.0007703056,0.001279367,0.00003832683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912509,0.0005287721,0.006297085,0.0002114462,0.00003494749,0.00008932242,0.0002019927,0.0001418153,0.001243814],"genre_scores_gemma":[0.996551,0.00008789072,0.003039693,0.00002372937,0.00001565151,0.00002374173,0.0001659772,0.000003284269,0.00008900251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001321038,"threshold_uncertainty_score":0.005080223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596519491376428,"score_gpt":0.3031550718031514,"score_spread":0.2471898768893871,"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."}}