{"id":"W2342091521","doi":"","title":"Analysis of Barriers to Health Information Seeking and Utilizing in Patients With Diabetes","year":2016,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Medicine; Affect (linguistics); Type 2 diabetes; Control (management); Gerontology; Intensive care medicine; Environmental health; Psychology; Computer science; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547655,0.00009345321,0.0002704221,0.0002788928,0.0006636772,0.00004345387,0.0001973916,0.00007425077,0.00007755754],"category_scores_gemma":[0.000962337,0.00005493823,0.00002534126,0.0008076927,0.0001118351,0.003988064,0.0001348595,0.0001802971,0.00001088204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556579,"about_ca_system_score_gemma":0.0001307019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002278152,"about_ca_topic_score_gemma":0.000261662,"domain_scores_codex":[0.9978782,0.0003638097,0.001210421,0.0001011776,0.0001769929,0.0002694328],"domain_scores_gemma":[0.9976338,0.0002815701,0.0007128371,0.0004581494,0.0007202066,0.0001934931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000586255,0.000008098264,0.9678178,0.0001219559,0.00001761254,1.292778e-9,0.01088035,0.00001311457,0.000008132994,0.0003584558,0.0000410874,0.02067471],"study_design_scores_gemma":[0.0007947453,0.00005185905,0.9912292,0.0003340354,0.00001085614,5.0531e-9,0.002411355,0.0006249158,0.000009460789,0.0000223515,0.004435746,0.00007540697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970976,0.00002975113,0.0001841971,0.001183427,0.0000285962,0.0006363253,0.00006785064,0.00003347851,0.000738808],"genre_scores_gemma":[0.9966682,0.00002562619,0.0007571306,0.002245152,0.00000371254,0.0000600412,0.0002237737,0.000003412748,0.00001298527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0234114,"threshold_uncertainty_score":0.5104536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300476229175941,"score_gpt":0.4188346568566046,"score_spread":0.3887870339390105,"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."}}