{"id":"W2619625096","doi":"10.3390/admsci7020015","title":"How Well Does the CWEQ II Measure Structural Empowerment? Findings from Applying Item Response Theory","year":2017,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Nursing education and management","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polytomous Rasch model; Item response theory; Reliability (semiconductor); Psychometrics; Psychology; Classical test theory; Discriminant validity; Scale (ratio); Point (geometry); Measure (data warehouse); Statistics; Mathematics; Computer science; Clinical psychology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001548383,0.0001883893,0.0001484266,0.00006885647,0.005212913,0.001713486,0.001110664,0.00005339001,0.0002515354],"category_scores_gemma":[0.0009784502,0.0001053291,0.00007207703,0.0001236665,0.001749379,0.0006271773,0.0001229472,0.0001830262,0.0000187784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006806247,"about_ca_system_score_gemma":0.0001009306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005011721,"about_ca_topic_score_gemma":0.0001116767,"domain_scores_codex":[0.9980869,0.0003631547,0.0001602515,0.0004791247,0.0005763092,0.00033431],"domain_scores_gemma":[0.9984858,0.0005448118,0.0002640279,0.0005562569,0.00007170756,0.00007737617],"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":[0.01038116,0.0007353122,0.09348049,0.00008729713,0.0005056641,0.00006184438,0.2009488,0.00001139142,0.1990308,0.1120775,0.1437357,0.2389442],"study_design_scores_gemma":[0.0009741698,0.001259263,0.4950486,0.0003428225,0.0001335499,0.00001142057,0.1345515,0.0001288595,0.126038,0.05170928,0.1889985,0.0008040335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161366,0.00007690411,0.00002189066,0.07025408,0.00638647,0.0004389498,0.00001810885,0.00005315438,0.006613889],"genre_scores_gemma":[0.9840333,0.000001932474,0.0003289142,0.0006727917,0.0001640665,0.0000385186,0.000003569221,0.00000897716,0.01474796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4015681,"threshold_uncertainty_score":0.9993228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857444451204648,"score_gpt":0.3564106682048047,"score_spread":0.3078362236927582,"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."}}