{"id":"W4308955916","doi":"10.2196/39059","title":"Emoji Education: How Students Can Help Increase Health Awareness by Making Emojis","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Digital Communication and Language","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emoji; Health literacy; Health communication; Health care; Internet privacy; Literacy; Public health; Health education; Psychology; Public relations; Medicine; Nursing; Communication; Computer science; Political science; Social media; World Wide Web; Pedagogy","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":[0.002796178,0.0009382667,0.0004681688,0.000993592,0.001546929,0.003063214,0.001195579,0.001645459,0.02680323],"category_scores_gemma":[0.009109022,0.0002508221,0.0008221638,0.0004674623,0.0008882927,0.004045671,0.003962777,0.002275944,0.008220796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005828234,"about_ca_system_score_gemma":0.001456333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006346723,"about_ca_topic_score_gemma":0.001903978,"domain_scores_codex":[0.9986253,0.0007406802,0.00006674734,0.0001258116,0.0002196708,0.0002218727],"domain_scores_gemma":[0.9966981,0.001666934,0.0001689248,0.0001952227,0.0004211903,0.0008495529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003087172,0.005393284,0.007419098,0.002260333,0.00005215389,0.000738652,0.03532391,0.0004457984,0.007404678,0.009825255,0.1748421,0.755986],"study_design_scores_gemma":[0.0004015217,0.002398608,0.02200429,0.003763292,0.0003587819,0.001172251,0.04447925,0.003550584,0.01052191,0.02655519,0.8845576,0.0002368255],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4786683,0.007329032,0.1133309,0.07973828,0.008069977,0.002094409,0.001167056,0.009702507,0.2998995],"genre_scores_gemma":[0.6305878,0.01078924,0.2016879,0.01993546,0.001409211,0.002340249,0.001264791,0.0007658693,0.1312194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02680323,"threshold_uncertainty_score":0.08966571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517460327044456,"score_gpt":0.3711097003186659,"score_spread":0.3559350970482213,"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."}}