{"id":"W4313646770","doi":"10.1111/jocd.15605","title":"Alopecia areata and pattern hair loss (androgenetic alopecia) on social media – Current public interest trends and cross‐sectional analysis of <scp>YouTube</scp> and <scp>TikTok</scp> contents","year":2023,"lang":"en","type":"article","venue":"Journal of Cosmetic Dermatology","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mediprobe Research (Canada); University of Toronto","funders":"","keywords":"Alopecia areata; Social media; Hair loss; Autonomy; Medicine; Quality (philosophy); Matching (statistics); Dermatology; Advertising; Internet privacy; Computer science; Business; World Wide Web; Pathology; Political science","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":[0.0006710258,0.0001319126,0.0002052856,0.002417661,0.0003354042,0.0008490105,0.0001909573,0.0003329148,0.003232574],"category_scores_gemma":[0.00292022,0.0001275774,0.0004571215,0.00185244,0.0002126674,0.00106087,0.0006211941,0.0004026956,0.0005626099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310188,"about_ca_system_score_gemma":0.000207312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004902048,"about_ca_topic_score_gemma":0.006877248,"domain_scores_codex":[0.9994198,0.0001024722,0.0001017593,0.0001123549,0.0001603082,0.0001032851],"domain_scores_gemma":[0.9965959,0.0006965223,0.001730921,0.00009356839,0.0005968689,0.0002861932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001157423,0.00007044203,0.9925909,0.0001088978,0.00007118726,0.00007316421,0.000636155,0.00001996322,0.0002330517,0.00002944666,0.0005191324,0.005531981],"study_design_scores_gemma":[0.000001554961,0.00004708146,0.9984425,0.00002244695,0.00002016215,0.0001571759,0.0008029571,0.00007288268,0.00004511797,0.00001037681,0.000374363,0.000003432206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960651,0.0004042085,0.0000417075,0.00005641561,0.000006576317,0.00004336265,0.002388477,0.000004846529,0.0009895003],"genre_scores_gemma":[0.9966512,0.0003596242,0.0001034276,0.00003905507,0.00002500995,0.00007489486,0.002122209,0.000004604,0.0006198105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004902048,"threshold_uncertainty_score":0.01081401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06777784509178762,"score_gpt":0.3263746251607655,"score_spread":0.2585967800689779,"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."}}