{"id":"W4416875388","doi":"10.58931/cdt.2025.64151","title":"YouTube as a Source of Patient Information for Soft Tissue Filler","year":2025,"lang":"","type":"article","venue":"Canadian dermatology today.","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"The Internet; Popularity; Filler (materials); Quality (philosophy); Botulinum toxin; Process (computing); Set (abstract data type)","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":[0.000358472,0.0002419981,0.0005356711,0.0007878964,0.00102079,0.00006065691,0.0004428813,0.0008394943,0.0006979608],"category_scores_gemma":[0.008047893,0.0003052198,0.000119322,0.001043731,0.0006922684,0.0004745771,0.00003742339,0.0002693335,0.0002238199],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072188,"about_ca_system_score_gemma":0.01325027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5062765,"about_ca_topic_score_gemma":0.3408973,"domain_scores_codex":[0.9969971,0.0003493591,0.001064287,0.0002843894,0.0002648853,0.001039933],"domain_scores_gemma":[0.9956644,0.001961743,0.0005040908,0.0003457752,0.0007589321,0.0007650398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007435121,0.00008481306,0.02045229,0.001096741,0.000150394,0.000005263219,0.2813787,0.00004160309,0.000005168995,0.07236922,0.1799877,0.4443537],"study_design_scores_gemma":[0.0004136928,0.00008021553,0.001832914,0.0001386324,0.0000785241,0.000007901473,0.02898662,0.0001510464,0.000356236,0.002671015,0.9650489,0.0002343006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6262273,0.004695218,0.001799496,0.2276913,0.05618595,0.01503205,0.0003004128,0.0001369341,0.06793141],"genre_scores_gemma":[0.9892086,0.0001412968,0.0002742048,0.008147719,0.0002254292,0.001368151,0.0000937146,0.00001734067,0.0005235812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7850612,"threshold_uncertainty_score":0.99994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918388528870165,"score_gpt":0.3250658992018363,"score_spread":0.3058820139131346,"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."}}