{"id":"W4378172491","doi":"10.1177/12034754231174847","title":"Quality Assessment of Skin Cancer Videos Calls for Improved Patient Content: A YouTube Cross-Sectional Study","year":2023,"lang":"en","type":"letter","venue":"Journal of Cutaneous Medicine and Surgery","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital; Université de Montréal","funders":"Fondation de l'Hôpital général juif","keywords":"Medicine; Cross-sectional study; Skin cancer; Quality (philosophy); Dermatology; Cancer; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001612277,0.0002017611,0.0003102217,0.001442724,0.000977783,0.001483433,0.0005391396,0.001119489,0.004017163],"category_scores_gemma":[0.01008198,0.000419072,0.00055007,0.001822453,0.0004386189,0.00169123,0.0009371445,0.001020008,0.0007900775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524946,"about_ca_system_score_gemma":0.0009617722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03015043,"about_ca_topic_score_gemma":0.04120965,"domain_scores_codex":[0.9987094,0.0003245293,0.0001939569,0.0001950502,0.0003487795,0.0002281756],"domain_scores_gemma":[0.9900734,0.002163977,0.004561157,0.0003132524,0.001928311,0.0009599309],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008231599,0.0001965043,0.9974382,0.00001919952,0.00003932471,0.0000558936,0.0006589394,0.000006338556,0.00005936416,0.00001245816,0.0003124552,0.001118917],"study_design_scores_gemma":[0.00001097351,0.0001420926,0.9969957,0.00002063862,0.00002562983,0.0001172217,0.002319696,0.00008215637,0.00002687236,0.000008706699,0.0002431493,0.000007190049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984274,0.0001092062,0.00003364908,0.0001530213,0.000009324313,0.00005060231,0.00063027,0.000001851605,0.0005847677],"genre_scores_gemma":[0.9979869,0.0001431479,0.0001107337,0.00027425,0.00002440813,0.00006804647,0.0006688272,0.000006950423,0.0007167036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983877,"threshold_uncertainty_score":0.05994987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078653965645829,"score_gpt":0.3546021342165679,"score_spread":0.2467367376519851,"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."}}