{"id":"W2991402153","doi":"10.3233/shti190162","title":"We Built It, But They Are Not Coming: Exploring Deterrents to Consumer Medication Information Use","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Medical prescription; Warrant; Context (archaeology); Documentation; Perception; Business; Medicine; Marketing; Advertising; Psychology; Environmental health; Nursing; Geography; Computer science","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":[0.005430391,0.0001708493,0.0004413592,0.0009441948,0.001927905,0.002588731,0.0005246958,0.0009514078,0.002576962],"category_scores_gemma":[0.03890985,0.0003591593,0.0005091077,0.0008559476,0.001003782,0.003139325,0.001534456,0.001693046,0.0002645862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252229,"about_ca_system_score_gemma":0.003315452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008465448,"about_ca_topic_score_gemma":0.01461423,"domain_scores_codex":[0.9961097,0.002140543,0.0003587368,0.0001573126,0.000933923,0.0002998527],"domain_scores_gemma":[0.9728104,0.01801548,0.004945714,0.0006704351,0.002087021,0.001470962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003448128,0.00151469,0.6745405,0.001079295,0.0001376624,0.0007412797,0.1489929,0.00008103908,0.0007703886,0.001958464,0.002570454,0.1672685],"study_design_scores_gemma":[0.00007282157,0.002215102,0.7013609,0.001536501,0.0003615349,0.001329166,0.2684757,0.0008983015,0.001136088,0.001517317,0.02099212,0.0001043812],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926415,0.0005697284,0.0002177444,0.002173404,0.00001888097,0.00007062455,0.00005441259,0.000006915569,0.004246738],"genre_scores_gemma":[0.9958442,0.001161707,0.001218536,0.0008386627,0.0000166113,0.00006583276,0.00004923978,0.000005043807,0.0008002674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008465448,"threshold_uncertainty_score":0.02871895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2638532331471045,"score_gpt":0.4887420868044189,"score_spread":0.2248888536573144,"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."}}