{"id":"W2563524816","doi":"10.1182/blood.v126.23.4462.4462","title":"The Quality, Content, Accuracy and Readability of Information about Sickle Cell Anemia on the Internet","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto; McMaster University","funders":"","keywords":"Readability; Medicine; Information quality; The Internet; Quality Score; Information retrieval; Computer science; World Wide Web; Information system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02264807,0.0002655625,0.001539397,0.01398051,0.0003933426,0.002258178,0.0007705549,0.0006418754,0.002109336],"category_scores_gemma":[0.1061971,0.0002778145,0.001227396,0.007058459,0.0005921989,0.002276953,0.001069335,0.0004266504,0.0004688842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178746,"about_ca_system_score_gemma":0.002647988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002995048,"about_ca_topic_score_gemma":0.006103741,"domain_scores_codex":[0.9807721,0.007993705,0.004575691,0.0006996889,0.005647768,0.0003109693],"domain_scores_gemma":[0.8060741,0.1198572,0.02784434,0.002355559,0.04258095,0.001287864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001439204,0.0002747406,0.3954313,0.07826858,0.00228391,0.0008489895,0.005664153,0.0005359328,0.003286383,0.0003667299,0.01054211,0.501058],"study_design_scores_gemma":[0.0001897728,0.002556794,0.8666306,0.06008951,0.005058107,0.003491843,0.005838308,0.001898451,0.004334322,0.0003333407,0.04942775,0.0001512585],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.794567,0.1712359,0.003933988,0.002584185,0.0002923065,0.002165561,0.01104336,0.0002299353,0.01394772],"genre_scores_gemma":[0.9234179,0.05746911,0.01100762,0.0007130422,0.000196222,0.001016663,0.004750055,0.00006758078,0.001361662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02264807,"threshold_uncertainty_score":0.1197758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396794243013683,"score_gpt":0.4369292634626243,"score_spread":0.2972498391612559,"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."}}