{"id":"W4401632574","doi":"10.1097/jnn.0000000000000791","title":"Exploring Perspectives on Stroke Standard Set Data Collection: A Qualitative Descriptive Study","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience Nursing","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"","keywords":"Data collection; SSS*; Descriptive statistics; Stroke (engine); Medicine; Qualitative research; Nursing; Qualitative property; Health care; Minimum Data Set; Set (abstract data type); Psychology; Family medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144369,0.000117807,0.0002766623,0.0006116423,0.0001807298,0.0001542007,0.0001786208,0.00001999759,0.000009953152],"category_scores_gemma":[0.001448377,0.00008627908,0.0001097461,0.0007685457,0.000229925,0.001081805,0.00002389591,0.0004503815,0.000002579093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005903171,"about_ca_system_score_gemma":0.0004554655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003052685,"about_ca_topic_score_gemma":5.962607e-7,"domain_scores_codex":[0.9980385,0.0002559544,0.0003539838,0.0003440804,0.0008313181,0.0001761712],"domain_scores_gemma":[0.9988105,0.000437556,0.0001256713,0.000229093,0.0002591643,0.0001380742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002677573,0.001605211,0.001202217,0.00008084198,0.0001127803,0.0007936922,0.9095759,0.0001246361,0.05832337,0.0003566428,0.006171303,0.01897578],"study_design_scores_gemma":[0.001069668,0.01236419,0.03619919,0.001524398,0.0001408015,0.0006608834,0.9436715,0.001377506,0.0007092413,0.00007956321,0.00207895,0.0001240972],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989758,0.0005816145,0.00235936,0.00245179,0.003965854,0.0002753577,0.00002434002,0.00003146175,0.0005522656],"genre_scores_gemma":[0.9981622,0.0001897474,0.0009442337,0.00005285455,0.0003079667,0.000002917451,4.131552e-7,0.00001396942,0.0003256763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05761413,"threshold_uncertainty_score":0.3518358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3729829925702736,"score_gpt":0.4639899882473489,"score_spread":0.09100699567707526,"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."}}