{"id":"W4390794270","doi":"10.2196/45573","title":"Privacy Concerns About Sharing General and Specific Health Information on Twitter: Quantitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Information sharing; Affect (linguistics); Health information; Personally identifiable information; Information privacy; Social media; Data sharing; World Wide Web; Psychology; Business; Health care; Computer science; Medicine; Political science; 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":[0.008622205,0.0002699096,0.0004339118,0.001653327,0.002300569,0.002212049,0.0005110718,0.000928029,0.004390366],"category_scores_gemma":[0.03655241,0.0003725041,0.0004970382,0.001685941,0.001654314,0.003939613,0.002672845,0.00123682,0.0005363576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460385,"about_ca_system_score_gemma":0.001089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004273294,"about_ca_topic_score_gemma":0.005092657,"domain_scores_codex":[0.9936352,0.003728708,0.0006772985,0.0004674436,0.0009145353,0.000576866],"domain_scores_gemma":[0.9614521,0.02444749,0.00810649,0.001350396,0.003259686,0.001383798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002860003,0.0006233163,0.7328576,0.000634235,0.0000918135,0.000416072,0.2364552,0.0001480116,0.001299142,0.0009864611,0.001689846,0.02451234],"study_design_scores_gemma":[0.00003703731,0.0005105441,0.5669241,0.0003152677,0.00008332543,0.0004959137,0.4207124,0.001495308,0.0009191222,0.0005999735,0.007817245,0.00008980966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996549,0.00007948855,0.0003145738,0.0002989739,0.000007474387,0.0001645852,0.0003175067,0.000004425726,0.002263938],"genre_scores_gemma":[0.9982219,0.0001332772,0.0003613877,0.0001946217,0.0000153212,0.0004017585,0.000198832,0.000005447234,0.0004673704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008622205,"threshold_uncertainty_score":0.0455991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3922650926604114,"score_gpt":0.5870224310990975,"score_spread":0.194757338438686,"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."}}