{"id":"W6939399072","doi":"10.6084/m9.figshare.13059202","title":"Additional file 1 of How do I keep myself safe? Patient perspectives on including reason for use information on prescriptions and medication labels: a qualitative thematic analysis","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; McMaster University; University of Waterloo","funders":"","keywords":"Medical prescription; Thematic analysis; Qualitative research; Qualitative analysis; MEDLINE; Set (abstract data type)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00799994,0.000637886,0.0009168049,0.002983786,0.002658212,0.001922363,0.001456609,0.001155906,0.7110805],"category_scores_gemma":[0.06660379,0.0004134919,0.0006354807,0.005349902,0.0006332274,0.003327018,0.001880444,0.0015536,0.04137415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004054247,"about_ca_system_score_gemma":0.007304403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396539,"about_ca_topic_score_gemma":0.02487599,"domain_scores_codex":[0.9979523,0.001107225,0.0002631115,0.0001893067,0.0002760316,0.0002119152],"domain_scores_gemma":[0.8793136,0.1084409,0.002102661,0.00145981,0.007530504,0.001152518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004276028,0.0002875113,0.002994311,0.008575275,0.00002161214,0.0002078595,0.0306192,0.0003347968,0.0001683739,0.005088108,0.9162304,0.03504495],"study_design_scores_gemma":[0.002473037,0.0004599758,0.02613687,0.01506871,0.0001318917,0.0004165426,0.1498273,0.001409192,0.0007888881,0.02135652,0.7816913,0.0002398444],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01085505,0.0001530317,0.00291689,0.004056328,0.000253157,0.004759176,0.9602784,0.0003605811,0.01636739],"genre_scores_gemma":[0.1695532,0.001827389,0.05302472,0.007453966,0.0005050791,0.237003,0.4041585,0.001472873,0.1250013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7110805,"threshold_uncertainty_score":0.4121086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6060702682221513,"score_gpt":0.5637201728603705,"score_spread":0.0423500953617808,"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."}}