{"id":"W4390680512","doi":"10.5114/ada.2023.133607","title":"Allergy and immunology diffusion via social media: performance of video and audio contents on Instagram","year":2023,"lang":"en","type":"article","venue":"Advances in Dermatology and Allergology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Allergy; Medicine; Immunology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542824,0.0001222151,0.0003781175,0.0002301809,0.0003916099,0.000004498377,0.0001169119,0.0003529167,0.00001413628],"category_scores_gemma":[0.0009209409,0.0001249259,0.00001578449,0.0002786985,0.00175342,0.0001868336,0.00009262902,0.0002331912,0.000005505409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000306578,"about_ca_system_score_gemma":0.00005925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000263952,"about_ca_topic_score_gemma":0.005425218,"domain_scores_codex":[0.998482,0.0003919772,0.0003278123,0.0002802887,0.000111564,0.0004063984],"domain_scores_gemma":[0.9972435,0.002395552,0.0001640948,0.00007586009,0.00005052926,0.00007049436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005230712,0.0001565892,0.6013522,0.0001857318,0.00006511973,0.00004323451,0.07769802,0.000004935818,0.0004192368,0.0552415,0.0001486987,0.2641617],"study_design_scores_gemma":[0.001400882,0.0001699904,0.9508061,0.00004891938,0.000007528001,0.0000388988,0.007048541,0.0001264782,0.0001123148,0.008065704,0.03197322,0.0002013568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888678,0.00319204,0.000004335556,0.005245281,0.001884397,0.0002758416,0.000001910975,0.00004241506,0.000486021],"genre_scores_gemma":[0.9396945,0.05977492,0.00004037374,0.0002248966,0.0001030509,0.0001364421,0.000008490616,0.000007705998,0.000009673648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.349454,"threshold_uncertainty_score":0.6460549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032093270563655,"score_gpt":0.3374459577452777,"score_spread":0.3053526871816227,"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."}}