{"id":"W2168346796","doi":"10.2196/med20.2571","title":"Validity and Reliability of the eHealth Analysis and Steering Instrument","year":2013,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Diabetes Management and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Inter-rater reliability; Usability; Psychology; Construct validity; Randomized controlled trial; Reliability (semiconductor); Construct (python library); Applied psychology; Computer science; Rating scale; Health care; Clinical psychology; Psychometrics; Medicine; Human–computer interaction; Developmental psychology","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":[0.0003873395,0.00005274142,0.0001931405,0.00007579695,0.00003185747,0.000003675039,0.00003037075,0.00001685828,0.0001565328],"category_scores_gemma":[0.0001572377,0.00002922582,0.00002168977,0.000270417,0.0001203398,0.00004014201,0.00004077185,0.00005500001,0.000001225135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002008082,"about_ca_system_score_gemma":0.0000120425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000812486,"about_ca_topic_score_gemma":0.00001295981,"domain_scores_codex":[0.9994632,0.00003032379,0.000161574,0.0001136357,0.0001452563,0.00008598384],"domain_scores_gemma":[0.9995642,0.00004480053,0.00006247548,0.0002166267,0.00004465458,0.00006728568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003362011,0.00002612823,0.9877728,0.0001865367,0.000030413,4.969065e-8,0.0004525395,9.019625e-7,0.0001746094,0.00003613363,0.0009252044,0.01039132],"study_design_scores_gemma":[0.0003173145,0.0001129816,0.9968874,0.00005265419,0.0004544007,3.769349e-7,0.0003552084,0.0004873721,0.000150331,0.0002583267,0.0008995304,0.0000241126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863631,0.00006490445,0.00005846819,0.0112614,0.0001098794,0.0002760692,3.31799e-7,0.000008530221,0.001857386],"genre_scores_gemma":[0.9988349,0.00007121437,0.00019073,0.0003391227,0.00005829686,0.000009226162,0.000003790871,0.000002748903,0.0004899877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01247185,"threshold_uncertainty_score":0.1713925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216793259581644,"score_gpt":0.2790363793695764,"score_spread":0.257357053411412,"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."}}