{"id":"W4416404439","doi":"10.1111/nin.70065","title":"Tooling Up Nursing Research: Ethical Tensions Within Psychometric Scale Development","year":2025,"lang":"en","type":"article","venue":"Nursing Inquiry","topic":"Nursing education and management","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université de Montréal","funders":"","keywords":"Scale (ratio); Bureaucracy; Discipline; Psychometric testing; Resource (disambiguation); Nursing research; Psychometrics; Core competency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7298631,0.001599064,0.002518599,0.01134523,0.01167587,0.03443046,0.006553214,0.009320674,0.001731807],"category_scores_gemma":[0.8544976,0.002367965,0.001713039,0.008891919,0.09764414,0.02432633,0.02281426,0.02506271,0.001566004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0122209,"about_ca_system_score_gemma":0.02757537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794168,"about_ca_topic_score_gemma":0.002058799,"domain_scores_codex":[0.1184345,0.7465346,0.04113306,0.01035052,0.0812178,0.002329594],"domain_scores_gemma":[0.04119876,0.859131,0.0201443,0.04306106,0.03348235,0.002982418],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003323239,0.0001478431,0.00803894,0.003413721,0.0001902964,0.0006901092,0.1941828,0.0008322115,0.001605568,0.4153414,0.031308,0.3439168],"study_design_scores_gemma":[0.0001583105,0.0004231053,0.007420264,0.01430736,0.0001267916,0.001556919,0.054156,0.003998659,0.002786544,0.6973789,0.2172773,0.0004098275],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03882251,0.03768001,0.3324045,0.5443902,0.01483272,0.00111707,0.0001432643,0.0007321092,0.02987773],"genre_scores_gemma":[0.576716,0.01161372,0.3040536,0.08053277,0.01632533,0.004302714,0.0001501372,0.001454048,0.004851672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9906793,"threshold_uncertainty_score":0.333127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006944673232306,"score_gpt":0.4698504271739722,"score_spread":0.2691559598507416,"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."}}