{"id":"W2017521086","doi":"10.1007/s13187-014-0744-5","title":"Predictors of High eHealth Literacy in Primary Lung Cancer Survivors","year":2014,"lang":"en","type":"article","venue":"Journal of Cancer Education","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"eHealth; Medicine; Health literacy; Literacy; Quality of life (healthcare); Gerontology; Lung cancer; Descriptive statistics; Family medicine; Health care; Internal medicine; Psychology; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.00306835,0.0001089709,0.0004007781,0.0003575526,0.0001366052,0.00001039922,0.0002013037,0.0001312134,0.0006279144],"category_scores_gemma":[0.0003418995,0.00008724981,0.00005677504,0.0004257237,0.00002972741,0.001420188,0.00002418201,0.0006690688,0.000003561543],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152506,"about_ca_system_score_gemma":0.006303584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009685815,"about_ca_topic_score_gemma":0.001128306,"domain_scores_codex":[0.996031,0.0006721309,0.002534965,0.0001100636,0.0003672173,0.0002846222],"domain_scores_gemma":[0.9952144,0.0003901842,0.002782519,0.000207145,0.001211755,0.0001939659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001373731,0.0001201748,0.90483,0.00188733,0.00001120306,3.569108e-8,0.009215519,0.00009572977,0.00001214914,0.0002354763,0.005081776,0.07837327],"study_design_scores_gemma":[0.0006321658,0.00005285603,0.9446763,0.001520143,0.00001757458,5.131122e-7,0.0004094956,0.0004860215,0.0000246778,0.000262389,0.05184733,0.00007051922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985316,0.001969634,0.0005680156,0.002845115,0.007175902,0.0004268325,0.00002162094,0.000008384186,0.001668452],"genre_scores_gemma":[0.9917126,0.001386703,0.0007543426,0.004181954,0.001490096,0.00009004025,0.00001504882,0.00001182322,0.0003574353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07830275,"threshold_uncertainty_score":0.9993297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739185384629156,"score_gpt":0.4835957394982055,"score_spread":0.466203885651914,"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."}}