{"id":"W4408331338","doi":"10.2196/preprints.58882","title":"Living With and Managing Uncomplicated Urinary Tract Infection: Mixed Methods Analysis of Patient Insights From Social Media (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Urinary system; Social media; Psychology; Medicine; Computer science; Internal medicine; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01605146,0.0004158975,0.0007820312,0.002785088,0.001232565,0.002691544,0.0006811636,0.000873042,0.006103454],"category_scores_gemma":[0.0641114,0.0003955028,0.001372094,0.003161858,0.0005228038,0.001913246,0.002447189,0.0008517523,0.00115406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187303,"about_ca_system_score_gemma":0.002355391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261465,"about_ca_topic_score_gemma":0.007177858,"domain_scores_codex":[0.987105,0.009048919,0.001374225,0.0008001545,0.001090907,0.000580838],"domain_scores_gemma":[0.9370733,0.05048468,0.005281125,0.00200459,0.004425884,0.0007304554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0033398,0.002362029,0.5163646,0.01393032,0.001699375,0.001321971,0.1995591,0.000610732,0.002786485,0.003384222,0.0353326,0.2193087],"study_design_scores_gemma":[0.0007695534,0.003018298,0.6275404,0.00825978,0.001493202,0.0009594949,0.2748612,0.007427265,0.002853219,0.005335981,0.067123,0.0003586212],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622018,0.002033906,0.006772245,0.002029336,0.0001841575,0.008440941,0.01389562,0.00007915209,0.004362814],"genre_scores_gemma":[0.9096501,0.001865519,0.02945546,0.003189352,0.0003236435,0.04257648,0.008985825,0.000124002,0.003829506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01605146,"threshold_uncertainty_score":0.08488923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08238947598726237,"score_gpt":0.416209663300908,"score_spread":0.3338201873136457,"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."}}