{"id":"W3124026863","doi":"10.2196/17660","title":"Assessing Apps for Health Care Workers Using the ISYScore-Pro Scale: Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Delphi method; mHealth; Health care; Mobile phone; Scale (ratio); Android (operating system); Inter-rater reliability; Medicine; Nursing; Computer science; Psychology; Rating scale; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03132628,0.0006666895,0.0008293422,0.00320936,0.0008434401,0.001364548,0.0009743465,0.0009537847,0.001414202],"category_scores_gemma":[0.04171795,0.0005674016,0.001937549,0.001492444,0.001089886,0.001490702,0.002166845,0.001303935,0.0005050561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455831,"about_ca_system_score_gemma":0.005684255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482657,"about_ca_topic_score_gemma":0.002850107,"domain_scores_codex":[0.9873219,0.004184418,0.002012693,0.000646697,0.005352116,0.0004822473],"domain_scores_gemma":[0.9629626,0.01491762,0.003699742,0.001364243,0.01587779,0.00117811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001000106,0.00599214,0.6776152,0.002934439,0.000547026,0.0006351724,0.02514707,0.001269029,0.005390626,0.001521323,0.005117632,0.2728302],"study_design_scores_gemma":[0.0004297766,0.009528974,0.9456584,0.002136834,0.0004367372,0.001200458,0.01641235,0.005886087,0.002951667,0.0006387471,0.01458222,0.0001376773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9758878,0.0005557379,0.0074449,0.0003166931,0.00008346159,0.01054256,0.0004693533,0.00005556114,0.004643939],"genre_scores_gemma":[0.9270831,0.001478656,0.04807976,0.0003321945,0.00006360922,0.01995072,0.001444945,0.00004827436,0.00151856],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03132628,"threshold_uncertainty_score":0.1656712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945801833277023,"score_gpt":0.5347405925812231,"score_spread":0.3401604092535208,"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."}}