{"id":"W2102917015","doi":"10.1186/1472-6947-13-115","title":"Generic medicines: an evaluation of the accuracy and accessibility of information available on the internet","year":2013,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Limerick","keywords":"Health informatics; The Internet; Computer science; World Wide Web; Information retrieval; Data science; Internet privacy; Medicine; Public health; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01280988,0.0001296203,0.000275952,0.0001194795,0.000360588,0.0000549349,0.0004274082,0.000195942,0.00314659],"category_scores_gemma":[0.01125932,0.00005900361,0.00003896352,0.0003116578,0.0002099704,0.002508071,0.000353413,0.0004480474,0.00006215741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000557193,"about_ca_system_score_gemma":0.0006989554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000093218,"about_ca_topic_score_gemma":0.00004052373,"domain_scores_codex":[0.9946151,0.0006355821,0.002838399,0.00009060038,0.001601994,0.0002182885],"domain_scores_gemma":[0.9912075,0.005316681,0.001721844,0.0005907035,0.0009973373,0.000165955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001143178,0.00005217166,0.07462569,0.001557738,0.000009745831,1.276266e-8,0.01367063,0.00006629047,0.000002297403,0.002830534,0.009671619,0.8973989],"study_design_scores_gemma":[0.0008128088,0.00005906692,0.09069525,0.001239528,0.00001569258,0.000001356958,0.006689781,0.8941924,0.00001402922,0.004753767,0.001458101,0.00006823781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478162,0.00006046437,0.04491653,0.0001178863,0.0003099825,0.001358928,0.000008472152,0.00001356533,0.005397981],"genre_scores_gemma":[0.984054,0.00006521935,0.009571172,0.006146752,0.00004326902,0.00009615212,0.00001052886,0.000003864739,0.000009086977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8973307,"threshold_uncertainty_score":0.9977646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1572891636755761,"score_gpt":0.4767214711574278,"score_spread":0.3194323074818517,"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."}}