{"id":"W4382135495","doi":"10.2196/48630","title":"Health Information on Pre-Exposure Prophylaxis From Search Engines and Twitter: Readability Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Readability; Computer science; Information retrieval; World Wide Web; Reading (process); Web page; Target audience; Health communication; Psychology; Advertising","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":[0.00728608,0.0004534629,0.0008404104,0.01090033,0.0005417552,0.002282555,0.0005051481,0.0005180652,0.005813322],"category_scores_gemma":[0.07007352,0.0002095544,0.001316979,0.00657994,0.0005181771,0.003507788,0.001899521,0.0005700934,0.001559167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008776726,"about_ca_system_score_gemma":0.0009753092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004198871,"about_ca_topic_score_gemma":0.00561402,"domain_scores_codex":[0.9937274,0.001925547,0.002053711,0.0004931795,0.001501031,0.000298983],"domain_scores_gemma":[0.9153401,0.05590461,0.01542281,0.00230974,0.01017781,0.0008449416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002938723,0.0003203384,0.6958422,0.0264112,0.00102726,0.0007486817,0.02906784,0.000752741,0.005009091,0.001053909,0.01891216,0.2179159],"study_design_scores_gemma":[0.00008569607,0.0004638225,0.9492443,0.003516769,0.0007504554,0.0006402747,0.01106471,0.001934589,0.003224261,0.0009198972,0.02803203,0.0001232828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153573,0.004832941,0.002971085,0.00112727,0.00009449362,0.001482033,0.06296849,0.000295451,0.01087086],"genre_scores_gemma":[0.9447426,0.003065568,0.008112542,0.0005048612,0.0001630558,0.002752025,0.03763517,0.0001609443,0.002863185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090033,"threshold_uncertainty_score":0.03853297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05367681043740382,"score_gpt":0.4165596319111808,"score_spread":0.362882821473777,"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."}}