{"id":"W4210460328","doi":"10.1007/s11096-021-01373-5","title":"Abstracts of the 25th Annual Meeting of ESPACOMP, the International Society for Medication Adherence, 08–19 November 2021","year":2022,"lang":"en","type":"article","venue":"International Journal of Clinical Pharmacy","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Centro de Investigação em Tecnologias e Serviços de Saúde; Universidade do Porto; Univerza v Ljubljani; Medizinische Universität Wien; Universität Wien; Institut National de la Santé et de la Recherche Médicale; Università degli Studi di Milano; Université du Luxembourg; Universitätsspital Basel; Universität Basel; Universidade de Aveiro; Università degli Studi di Napoli Federico II","keywords":"Medicine; Pharmacy; Family medicine; Intensive care medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003206331,0.00009700148,0.000317926,0.00005831514,0.00008319591,0.00001159461,0.001235447,0.00003576725,0.002338647],"category_scores_gemma":[0.002263974,0.00006033872,0.0007391584,0.0001490924,0.0002358636,0.0001302351,0.0002136606,0.000656197,0.000009399527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682161,"about_ca_system_score_gemma":0.001055115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000286007,"about_ca_topic_score_gemma":0.000001660806,"domain_scores_codex":[0.9961753,0.0001081669,0.001810273,0.0001504559,0.001644112,0.000111655],"domain_scores_gemma":[0.9942589,0.001129743,0.002738942,0.0001963354,0.001560741,0.0001152928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003757036,0.00277472,0.1464608,0.0000992159,0.003363812,0.00001823385,0.001637699,0.001721668,0.01006848,0.002351674,0.7541967,0.07354999],"study_design_scores_gemma":[0.01297495,0.0005425414,0.1146293,0.0005013093,0.0004162189,0.0002899644,0.002572508,0.01019375,0.005652519,0.002092779,0.8499563,0.0001778152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8920313,0.0005703399,0.001637322,0.08533403,0.01066105,0.000644086,0.0002469366,0.000008944444,0.008866051],"genre_scores_gemma":[0.9904664,0.00029982,0.0012993,0.004812847,0.001496141,0.00002262417,0.00001960149,0.000009569309,0.001573748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0984351,"threshold_uncertainty_score":0.9985734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298876201768056,"score_gpt":0.4806335174718353,"score_spread":0.3507458972950297,"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."}}