{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.110826,0.0006018706,0.001264168,0.004325464,0.001180736,0.002040834,0.00119816,0.001090003,0.001947938],"category_scores_gemma":[0.1862333,0.0006913036,0.003715137,0.002850404,0.002778806,0.001788679,0.00287018,0.001366037,0.0007664608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510739,"about_ca_system_score_gemma":0.003605858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206807,"about_ca_topic_score_gemma":0.001911174,"domain_scores_codex":[0.9130078,0.04021785,0.0158628,0.005431977,0.02386258,0.001616849],"domain_scores_gemma":[0.734288,0.156513,0.02150526,0.01461409,0.07070845,0.002371263],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001854423,0.000960961,0.8405105,0.001279173,0.001061231,0.00008453835,0.007851565,0.001528979,0.001968428,0.002147032,0.002724494,0.1380286],"study_design_scores_gemma":[0.0005883779,0.002155432,0.9614035,0.001528241,0.0007283493,0.000338338,0.004732055,0.01057362,0.003443251,0.003039513,0.01129133,0.0001779867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127687,0.002031991,0.04887048,0.00102764,0.0006032631,0.01059754,0.002817396,0.0003507576,0.02093219],"genre_scores_gemma":[0.9485533,0.000450729,0.03799224,0.0002954369,0.0001126811,0.01021001,0.001327212,0.0001074552,0.0009508582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.889174,"threshold_uncertainty_score":0.5861109,"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."}}