{"id":"W3185932306","doi":"10.1371/journal.pone.0253644","title":"Comparing the impact of an icon array versus a bar graph on preference and understanding of risk information: Results from an online, randomized study","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Numeracy; Bar chart; Icon; Health literacy; Graph; Literacy; Computer science; Preference; Randomized controlled trial; Medicine; Psychology; Mathematics; Statistics; Internal medicine; Theoretical computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002932281,0.0001235624,0.0006250221,0.00009684192,0.0004278262,0.00002787443,0.0001571105,0.00008518193,0.00009261745],"category_scores_gemma":[0.003077878,0.00007786583,0.00005615686,0.0002319737,0.00008185766,0.001417054,0.00005203722,0.0004313216,0.000004490393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068295,"about_ca_system_score_gemma":0.0002838567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00255273,"about_ca_topic_score_gemma":0.0006609356,"domain_scores_codex":[0.9954631,0.002103359,0.001725237,0.0001506328,0.0003646352,0.0001929922],"domain_scores_gemma":[0.9944095,0.003317225,0.001193148,0.0005523285,0.0003935669,0.0001342339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2606916,0.007737993,0.3920572,0.0007779201,0.0009556075,5.513986e-7,0.3347259,0.0003172742,0.0001463814,0.001446567,0.00004055615,0.001102486],"study_design_scores_gemma":[0.1693165,0.001098659,0.7125854,0.0009582668,0.0002169307,7.804334e-8,0.08265997,0.03084361,0.0003232571,0.001818121,0.000003596306,0.000175562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959244,0.00001640591,0.0003809752,0.00007369925,0.00007634489,0.001287121,0.0006815216,0.00002927442,0.001530283],"genre_scores_gemma":[0.9983037,0.00006843546,0.001047708,0.00009596409,0.00004349705,0.00002912894,0.0004042004,0.000004739325,0.000002683491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205283,"threshold_uncertainty_score":0.3858981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3425009967338657,"score_gpt":0.4405357230310291,"score_spread":0.09803472629716337,"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."}}