{"id":"W2751940288","doi":"10.3233/978-1-61499-794-8-147","title":"A Comparison of Danish and Canadian Consumer Medication Information","year":2017,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Danish; Medical prescription; Medicine; Resource (disambiguation); Resource use; Family medicine; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004126817,0.0002609576,0.0005050859,0.005071411,0.004773339,0.004365854,0.0007063578,0.0005945879,0.007011225],"category_scores_gemma":[0.02481994,0.0003461981,0.0005959441,0.008401366,0.001292771,0.0009143031,0.001972785,0.0004902196,0.0004331735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.032233,"about_ca_system_score_gemma":0.03085433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.954133,"about_ca_topic_score_gemma":0.9620814,"domain_scores_codex":[0.9927308,0.0007444947,0.0005984272,0.0004517271,0.004618972,0.0008555914],"domain_scores_gemma":[0.9833947,0.004192413,0.001719234,0.0004334662,0.008914767,0.001345375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002005177,0.0003792228,0.6316862,0.00179703,0.0002695622,0.000868288,0.197742,0.0002846956,0.001571036,0.01039627,0.01646601,0.1365345],"study_design_scores_gemma":[0.0000689981,0.0001530393,0.8329607,0.0004396103,0.0001600898,0.0003758361,0.08623325,0.0003390042,0.0007472861,0.0002681772,0.07814813,0.0001058107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136561,0.001552566,0.0002245846,0.001347647,0.00005593093,0.0001408769,0.00378506,0.00002371511,0.07921351],"genre_scores_gemma":[0.9901459,0.001215189,0.0006093052,0.0004101547,0.00001062726,0.00005578457,0.002442721,0.00001693607,0.005093483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04586697,"threshold_uncertainty_score":0.2338679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284829823160872,"score_gpt":0.5363944189337688,"score_spread":0.4079114366176816,"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."}}