{"id":"W4255267123","doi":"10.2196/preprints.17312","title":"Psychometric Properties of the Norwegian Version of the Electronic Health Literacy Scale (eHEALS) Among Patients After Percutaneous Coronary Intervention: Cross-Sectional Validation Study (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Intraclass correlation; Health literacy; eHealth; Cronbach's alpha; Confirmatory factor analysis; Construct validity; Medicine; Clinical psychology; Reliability (semiconductor); Psychology; Psychometrics; Structural equation modeling; Computer science; Health care","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":[0.008446238,0.0003441233,0.0004628932,0.0007932032,0.0005012921,0.0008241993,0.0003359533,0.0005215955,0.001855083],"category_scores_gemma":[0.01539888,0.0003858099,0.000940256,0.0009033004,0.0005015138,0.0007714751,0.0007883932,0.0007140651,0.0004155106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007329409,"about_ca_system_score_gemma":0.001296685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006867943,"about_ca_topic_score_gemma":0.008075624,"domain_scores_codex":[0.997086,0.001111726,0.0005690339,0.0003566822,0.0006741455,0.0002023881],"domain_scores_gemma":[0.992089,0.003676987,0.001411939,0.0004484937,0.002000841,0.0003726261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002446981,0.0007250993,0.9809757,0.00009334076,0.0001128421,0.00008613317,0.003730296,0.0001548941,0.0005178363,0.00007461111,0.0008267866,0.01245771],"study_design_scores_gemma":[0.00004132082,0.0006579605,0.9963664,0.00006071839,0.0000361259,0.00008123902,0.001420409,0.0002838494,0.0001765297,0.00003063995,0.0008326897,0.00001212476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981255,0.0001059391,0.00023938,0.00007371993,0.00002512595,0.0001486006,0.0005244276,0.000003609353,0.0007537497],"genre_scores_gemma":[0.9965508,0.0001561453,0.001066191,0.0001086878,0.00001814708,0.000430485,0.001186397,0.000006191958,0.0004770284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008446238,"threshold_uncertainty_score":0.0446685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264108213722617,"score_gpt":0.3926754019104179,"score_spread":0.3600343197731918,"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."}}