{"id":"W4415016306","doi":"10.1016/j.jdcr.2025.09.023","title":"Artificial intelligence–based alopecia assessment: A proof of concept for enhancing accuracy and objectivity in hair loss measurement","year":2025,"lang":"en","type":"article","venue":"JAAD Case Reports","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Women's College Hospital; University of Toronto","funders":"","keywords":"Objectivity (philosophy); Hair loss; Proof of concept; Precision medicine; Cabello; Burden of proof","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003651428,0.0006161553,0.0007743255,0.0008163055,0.0002550458,0.002129392,0.001168947,0.00123801,0.002074176],"category_scores_gemma":[0.01324264,0.0003163675,0.0006354462,0.0003450135,0.0006018855,0.0009914672,0.001322066,0.001057831,0.0006129696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913239,"about_ca_system_score_gemma":0.0005297556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005648101,"about_ca_topic_score_gemma":0.000560139,"domain_scores_codex":[0.9964632,0.001187418,0.0001866605,0.0004273784,0.001609575,0.0001258108],"domain_scores_gemma":[0.993715,0.003598206,0.0004591795,0.0005470323,0.00151754,0.0001629928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002269767,0.001226048,0.02314662,0.001013496,0.0003646121,0.0005503173,0.0004148858,0.01677074,0.2526971,0.003731527,0.003772961,0.6940419],"study_design_scores_gemma":[0.0006134945,0.005037429,0.05226204,0.0004139058,0.0006309541,0.004485082,0.0003706073,0.6710189,0.2301874,0.01534828,0.01936588,0.0002661423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2239628,0.002623688,0.7593836,0.001304575,0.0006975333,0.000976951,0.0004653158,0.002114844,0.00847069],"genre_scores_gemma":[0.7127829,0.0006456209,0.2833426,0.00069029,0.0001991502,0.0003749369,0.0002865896,0.0001306601,0.001547201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003651428,"threshold_uncertainty_score":0.01931083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839089338505564,"score_gpt":0.3458058172619519,"score_spread":0.3074149238768962,"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."}}