{"id":"W4293066067","doi":"10.2196/37605","title":"Development of a Web-Based System to Report Medication-Related Adverse Effects: Design and Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Usability; Likert scale; mHealth; Adverse effect; Medicine; Patient safety; Digital health; System usability scale; Psychology; Applied psychology; Medical education; Health care; Nursing; Computer science; Web usability; Psychological intervention; Pharmacology","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":[0.02352538,0.0008780382,0.001040349,0.002043432,0.0008748331,0.001667877,0.001325328,0.001447117,0.001635541],"category_scores_gemma":[0.03017671,0.0008134635,0.001176057,0.0008984229,0.0008718066,0.001815484,0.001495467,0.0007302378,0.0005203878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075889,"about_ca_system_score_gemma":0.003351443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225557,"about_ca_topic_score_gemma":0.001428713,"domain_scores_codex":[0.9873558,0.008102843,0.001375074,0.0008703595,0.001754871,0.0005411187],"domain_scores_gemma":[0.9704863,0.01870085,0.001187618,0.001331576,0.0073181,0.0009755164],"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":[0.004252094,0.02930783,0.1010635,0.01672553,0.0007044328,0.004232623,0.06100661,0.007233784,0.08072361,0.002268416,0.004111121,0.6883705],"study_design_scores_gemma":[0.01426502,0.2340083,0.3332755,0.008466793,0.005365215,0.008208645,0.06648979,0.07817034,0.154149,0.004005775,0.09227134,0.00132432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861731,0.000598831,0.09139208,0.0003403701,0.0000734222,0.04206245,0.0003235581,0.0006457787,0.002832527],"genre_scores_gemma":[0.5853265,0.0009703757,0.3651538,0.0005280293,0.00005032339,0.04521026,0.0004581265,0.0001778255,0.002124786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02352538,"threshold_uncertainty_score":0.1244156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471372883151016,"score_gpt":0.5101662120247679,"score_spread":0.3630289237096662,"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."}}