{"id":"W4220732997","doi":"10.2196/36218","title":"Investigating Turf Burn–Related Videos on TikTok: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Athletes; Medicine; Social media; Misinformation; Football; Health care; Burn injury; Physical therapy; Surgery; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001050434,0.0002638665,0.000406969,0.002377558,0.0008397512,0.0008310601,0.0003582877,0.0005277668,0.004815416],"category_scores_gemma":[0.004568642,0.0004047166,0.0003349019,0.001580106,0.0004326855,0.001669277,0.001036381,0.0005909151,0.0008451121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009030853,"about_ca_system_score_gemma":0.0006490388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007841174,"about_ca_topic_score_gemma":0.01448942,"domain_scores_codex":[0.9993524,0.000156694,0.0000955945,0.000110384,0.0001324323,0.0001524871],"domain_scores_gemma":[0.9968247,0.0008218135,0.00135308,0.00007678747,0.0004894559,0.0004340365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003304532,0.0006416708,0.9608579,0.001603373,0.00006072063,0.001064291,0.01626406,0.00003287412,0.00111389,0.00007094372,0.002507463,0.01545237],"study_design_scores_gemma":[0.0000165622,0.0005867011,0.9610794,0.0005549354,0.00005954526,0.001407946,0.03228727,0.0001233824,0.0002190025,0.00002532636,0.003610709,0.00002917901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968341,0.0004109129,0.00007423031,0.00008042331,0.00001206266,0.0002559753,0.001295449,0.000005089273,0.001031757],"genre_scores_gemma":[0.9952953,0.001089205,0.0004897657,0.0003312601,0.00003192481,0.0005726856,0.001315167,0.0000105176,0.0008642888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007841174,"threshold_uncertainty_score":0.01610923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057322215352389,"score_gpt":0.4476286201742145,"score_spread":0.3418963986389755,"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."}}