{"id":"W2940802672","doi":"10.5737/2368807629297102","title":"OPEN JOURNAL SYSTEMS ARTICLE TOOLS Print this article Indexing metadata How to cite item Email this article Email the author Journal Help USER You are logged in as... sherrikeller My Profile Log Out LANGUAGE Select Language English JOURNAL CONTENT Search Search Scope All Browse By Issue By Author By Title FONT SIZE Make font size smallerMake font size defaultMake font size larger INFORMATION For Readers For Authors For Librarians CURRENT ISSUE Atom logo RSS2 logo RSS1 logo HOME ABOUT USER HOME SEARCH CURRENT ARCHIVES ANNOUNCEMENTS CANO/ACIO Home > Vol 29, No 2 (2019) > Savage Validation of the Malignant Wound Assessment Tool – Research (MWAT-R) using cognitive interviewing","year":2019,"lang":"en","type":"article","venue":"Canadian Oncology Nursing Journal","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Toronto Metropolitan University; Canada Research Chairs; University Health Network","funders":"","keywords":"Metadata; Interview; Cognitive interview; Distress; Content validity; Cognition; Psychology; Face validity; Impression management; Emotional distress; Perspective (graphical); Medicine; Applied psychology; Computer science; World Wide Web; Clinical psychology; Psychometrics; Social psychology; Psychiatry; Artificial intelligence; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01005802,0.0005791723,0.001184837,0.0005015112,0.001493367,0.002726338,0.001066733,0.0003848581,0.0005939166],"category_scores_gemma":[0.003585877,0.0004188222,0.0003891448,0.0005462237,0.0002977613,0.00151026,0.0002564726,0.002795039,0.00004450937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005189034,"about_ca_system_score_gemma":0.005557504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058817,"about_ca_topic_score_gemma":0.001110519,"domain_scores_codex":[0.9915591,0.002235059,0.001780409,0.000675861,0.001527678,0.002221873],"domain_scores_gemma":[0.9921676,0.002630151,0.0009329476,0.0005767024,0.002358596,0.001333985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009880451,0.004060098,0.03718273,0.002191314,0.004062729,0.0004278633,0.1877141,0.0007840465,0.116286,0.000226347,0.5264707,0.1107136],"study_design_scores_gemma":[0.06357732,0.01231541,0.04148317,0.03134802,0.002687766,0.003388342,0.2063518,0.01932081,0.03353811,0.0003689863,0.5821594,0.00346085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602355,0.004916091,0.008841732,0.01067803,0.004141173,0.008990427,0.001889109,0.00003262833,0.0002753482],"genre_scores_gemma":[0.9763516,0.0003937949,0.004953716,0.0009853948,0.001464083,0.0004949791,0.0002720267,0.000203814,0.0148806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072528,"threshold_uncertainty_score":0.9998264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09437787595085802,"score_gpt":0.393087271470047,"score_spread":0.298709395519189,"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."}}