{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000376578,0.0003192677,0.001243685,0.002155504,0.000162187,0.00009477577,0.000189521,0.0002405508,0.00003456954],"category_scores_gemma":[0.001333506,0.0002693131,0.0002909488,0.001100146,0.0006705833,0.0001583267,0.0001448546,0.0004670915,0.000009587541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004257403,"about_ca_system_score_gemma":0.0001253794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000677698,"about_ca_topic_score_gemma":0.0002185813,"domain_scores_codex":[0.9972569,0.0002132556,0.001076626,0.0003786702,0.0005495431,0.0005250498],"domain_scores_gemma":[0.9971613,0.001130819,0.0005768024,0.00019019,0.0004250747,0.0005158614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005513383,0.0002341524,0.9621465,0.0001404486,0.001303722,0.0003539564,0.001036835,0.000003678509,0.00008913215,0.0001059675,0.005781738,0.02874876],"study_design_scores_gemma":[0.004603183,0.0002841962,0.9837075,0.00007890353,0.001051674,0.001921171,0.0008872651,0.000459033,0.0001427825,0.0002419711,0.006555102,0.00006722489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99459,0.002934367,0.0001644754,0.001211648,0.0005344971,0.0001171613,0.0000994939,0.00002349482,0.0003248964],"genre_scores_gemma":[0.997716,0.001576578,0.00002135738,0.0002914265,0.000181149,0.000007646299,0.0001031254,0.00002909983,0.00007357942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02868154,"threshold_uncertainty_score":0.9999759,"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."}}