{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001299184,0.00009425161,0.0002258705,0.0001042224,0.00002027688,0.000008974454,0.00007704811,0.00005445975,0.00009174989],"category_scores_gemma":[0.001936218,0.00006568787,0.00007773614,0.0006158084,0.00006220019,0.00005884517,0.00005139349,0.00006131904,0.00001265478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006435002,"about_ca_system_score_gemma":0.0003158195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002602217,"about_ca_topic_score_gemma":0.0001549759,"domain_scores_codex":[0.9991255,0.00001707498,0.0002940505,0.0001903256,0.0002187189,0.0001542666],"domain_scores_gemma":[0.9993944,0.0001017374,0.00005260889,0.0001806468,0.0001747753,0.00009589654],"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":[0.01547368,0.002069827,0.3663605,0.000274297,0.0001336086,0.0001303127,0.03373059,0.0000459542,0.5199615,0.004710698,0.001303778,0.05580526],"study_design_scores_gemma":[0.0006630512,0.001335556,0.1865672,0.0005366101,0.00009185165,0.00004159839,0.006831554,0.0001864897,0.7903813,0.001097125,0.01211944,0.0001482321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963927,0.00006426844,0.00003462311,0.002257848,0.00005911328,0.000321731,0.00001531156,0.00001100964,0.0008434063],"genre_scores_gemma":[0.9985316,0.00001980337,0.0003707142,0.000325769,0.0000311195,0.00002060203,0.000002358896,0.00000988812,0.0006881544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704199,"threshold_uncertainty_score":0.2678674,"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."}}