{"id":"W3173432656","doi":"10.1097/01.ogx.0000452706.82050.3f","title":"Translating Access Into Utilization","year":2014,"lang":"en","type":"article","venue":"Obstetrical & Gynecological Survey","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Reproductive health; Health literacy; Literacy; Population; Health care; Patient Protection and Affordable Care Act; Health insurance; Nursing; Environmental health; Economic growth","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00553989,0.0002087583,0.0004625482,0.0001396733,0.001202763,0.00006744961,0.0005387827,0.0005277896,0.004826242],"category_scores_gemma":[0.05314739,0.0001482222,0.00008525461,0.001405957,0.0000861615,0.0009649476,0.0002113148,0.0009712115,0.001015687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760122,"about_ca_system_score_gemma":0.0001713832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004659303,"about_ca_topic_score_gemma":0.0003454945,"domain_scores_codex":[0.9917842,0.004759274,0.00188317,0.0004238481,0.0004067964,0.0007427326],"domain_scores_gemma":[0.9809642,0.01721217,0.0004914312,0.0003846747,0.0005117193,0.0004358421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004652096,0.0001032258,0.7706072,0.0001438685,0.000003892424,3.945502e-7,0.0005213894,0.00001598225,0.000004281027,0.001554844,0.001030593,0.2259677],"study_design_scores_gemma":[0.0006260041,0.0001029881,0.8784007,0.00002171638,0.000003669594,1.195476e-7,0.00007845245,0.01105785,0.000003820668,0.001261648,0.1082717,0.0001713587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852532,0.0002272397,0.1244704,0.001370446,0.002800595,0.001822925,0.00004646744,0.0006612081,0.08334748],"genre_scores_gemma":[0.9901251,0.00002101397,0.002118963,0.006914773,0.0001418957,0.0001083234,0.0002165228,0.00001423205,0.0003391297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2257964,"threshold_uncertainty_score":0.9997621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2584092768316267,"score_gpt":0.5069500119810552,"score_spread":0.2485407351494285,"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."}}