{"id":"W4391916492","doi":"10.2196/50431","title":"Does Male Skin Care Content on Instagram Neglect Skin Cancer Prevention?","year":2024,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neglect; Skin cancer; Social media; Skin care; Medicine; Content (measure theory); Order (exchange); Dermatology; Psychology; Cancer; Nursing; Computer science; Internal medicine; Business; World Wide Web","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":[0.002864476,0.0002098595,0.0002435318,0.0009184097,0.001360859,0.00358238,0.0003411949,0.001001759,0.01864353],"category_scores_gemma":[0.02196149,0.0001876002,0.0003531072,0.0008560536,0.0007925629,0.002347755,0.0009213164,0.001262415,0.001787197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036706,"about_ca_system_score_gemma":0.001189334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007061963,"about_ca_topic_score_gemma":0.01440741,"domain_scores_codex":[0.9969632,0.001190598,0.0001471503,0.0001622623,0.001115737,0.0004210284],"domain_scores_gemma":[0.9866702,0.007025386,0.003679414,0.000245166,0.001568089,0.000811764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005587603,0.0008006918,0.5987679,0.0005835538,0.0001780329,0.001200274,0.02810141,0.00005531928,0.00145801,0.0144085,0.07265808,0.2812293],"study_design_scores_gemma":[0.00004760455,0.0009166278,0.6924534,0.001636186,0.0003516564,0.003938519,0.1076081,0.000514553,0.002398449,0.003827363,0.1862014,0.0001061815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7202857,0.005891762,0.0004417111,0.1454877,0.001951416,0.00006800654,0.0008878005,0.0000475293,0.1249383],"genre_scores_gemma":[0.9676282,0.004768813,0.0002980174,0.0164916,0.001917178,0.00002648892,0.0001638364,0.00004387364,0.008662053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01864353,"threshold_uncertainty_score":0.06236881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638066676051131,"score_gpt":0.3680547634909493,"score_spread":0.331674096730438,"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."}}