{"id":"W4311138057","doi":"10.1016/j.pecinn.2022.100116","title":"Pharmaceutical pictograms: User-centred redesign, selection and validation","year":2022,"lang":"en","type":"article","venue":"PEC Innovation","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Ministry of Health -Singapore; Duke-NUS Medical School; Ministry of Health","keywords":"Pictogram; Transparency (behavior); Psychology; Selection (genetic algorithm); Meaning (existential); Computer science; Linguistics; Artificial intelligence","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":[0.07509191,0.001533954,0.001065687,0.003026986,0.0008339817,0.002632519,0.001927508,0.001430758,0.00593956],"category_scores_gemma":[0.2407372,0.000912872,0.001485927,0.001658254,0.001283627,0.002547787,0.00261148,0.001857807,0.003397161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353812,"about_ca_system_score_gemma":0.002262213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304603,"about_ca_topic_score_gemma":0.001995471,"domain_scores_codex":[0.9679955,0.01968357,0.004321096,0.002014267,0.005511086,0.0004745564],"domain_scores_gemma":[0.7590507,0.142227,0.01053709,0.0334852,0.05330061,0.001399398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009984164,0.004552906,0.06954671,0.007205225,0.0004284287,0.001315089,0.02045965,0.004520479,0.03374768,0.004706307,0.03450439,0.809029],"study_design_scores_gemma":[0.006305426,0.01648917,0.3368139,0.006882699,0.001841929,0.0044654,0.0123768,0.1027163,0.1448657,0.01055317,0.355247,0.001442519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6923025,0.002021032,0.2117367,0.00158702,0.001201758,0.05825362,0.007794049,0.01051167,0.01459172],"genre_scores_gemma":[0.4237753,0.001045703,0.5202569,0.001228679,0.0002640738,0.03699779,0.00773607,0.001592352,0.007103151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07509191,"threshold_uncertainty_score":0.3971288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06408080523114655,"score_gpt":0.3417919697883557,"score_spread":0.2777111645572091,"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."}}