{"id":"W4281608562","doi":"10.1186/s12891-022-05514-3","title":"The Public and Patient Engagement Evaluation Tool: forward-backwards translation and cultural adaption to Norwegian","year":2022,"lang":"en","type":"article","venue":"BMC Musculoskeletal Disorders","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Norwegian; Context (archaeology); Checklist; Applied psychology; Medicine; Relevance (law); Construct validity; Health care; Content validity; Cognitive interview; Public health; Sports medicine; Medical education; Psychology; Cognition; Patient satisfaction; Nursing; Psychometrics; Clinical psychology; Physical therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001827148,0.0001934734,0.0001540457,0.0001371003,0.004510583,0.00003708796,0.0001114681,0.00007656516,0.0004104019],"category_scores_gemma":[0.000479633,0.0001572646,0.00008429494,0.0003334664,0.00007513917,0.0003174286,0.0001994283,0.0005253378,0.00002611966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004283549,"about_ca_system_score_gemma":0.0002570998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002705561,"about_ca_topic_score_gemma":0.003289846,"domain_scores_codex":[0.9948978,0.002739206,0.000556291,0.0004228155,0.000895136,0.0004887338],"domain_scores_gemma":[0.9985791,0.0005498139,0.0002154135,0.0002843919,0.0001976482,0.0001736065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001388792,0.00003871498,0.258393,0.0002891945,0.00003393188,1.177801e-7,0.01293742,0.0005387553,0.00004072111,0.002575407,0.002895384,0.7221184],"study_design_scores_gemma":[0.001384614,0.0005768998,0.795511,0.00003206973,0.0000467941,0.000001048892,0.04604386,0.007314286,5.308215e-7,0.0009552678,0.1478258,0.0003078227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830587,0.00083967,0.001000271,0.008591766,0.001186772,0.004198321,0.00005443676,0.00009222907,0.0009778676],"genre_scores_gemma":[0.9935797,0.0002160161,0.0004434546,0.0005709016,0.00005433016,0.004918536,0.0001329351,0.00002720593,0.00005689383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7218106,"threshold_uncertainty_score":0.9967854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09154740633477994,"score_gpt":0.3984252359995926,"score_spread":0.3068778296648127,"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."}}