{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003724145,0.0001639503,0.0002836961,0.0006969393,0.0005755474,0.001064859,0.0002487172,0.0007094909,0.006165751],"category_scores_gemma":[0.004283955,0.0002282306,0.0005584868,0.0009962437,0.0004273391,0.0006456973,0.0007475815,0.001255255,0.0003951065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087605,"about_ca_system_score_gemma":0.0006698412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008345228,"about_ca_topic_score_gemma":0.009690485,"domain_scores_codex":[0.9995881,0.00008631602,0.0000593144,0.00003929696,0.00006941026,0.0001576645],"domain_scores_gemma":[0.9969203,0.001183007,0.001003654,0.0000762873,0.0002331399,0.000583562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003239848,0.00006129406,0.9990321,0.000005624973,0.00001250111,0.00004068756,0.00005976351,0.00001456218,0.00003904922,0.000009573778,0.00007226015,0.0006201217],"study_design_scores_gemma":[0.000003680857,0.00007693424,0.9988348,0.00001003359,0.00002046996,0.0001372286,0.0005794699,0.0001512143,0.00003824558,0.00004290808,0.0001016703,0.000003368345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980859,0.0001518741,0.00003172138,0.0001893237,0.000007534818,0.000007336573,0.0001890944,0.000002683698,0.001334582],"genre_scores_gemma":[0.9996171,0.00005041387,0.00002078626,0.00002988473,0.00000954362,0.000003685922,0.0001003987,8.762835e-7,0.0001672765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008345228,"threshold_uncertainty_score":0.02062649,"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."}}