{"id":"W2129963201","doi":"10.1111/j.1466-7657.2012.01046.x","title":"What's in a name? The importance of definition and comparable data","year":2013,"lang":"en","type":"letter","venue":"International Nursing Review","topic":"Nursing education and management","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Standardization; Workforce; Nursing; Globalization; Nurse education; Public relations; Set (abstract data type); Medicine; Political science; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.3203202,0.001567778,0.009446234,0.01421946,0.005358239,0.02195897,0.01235349,0.01750901,0.003756327],"category_scores_gemma":[0.6352451,0.001217433,0.003597072,0.02218242,0.02823963,0.06321536,0.01051592,0.0347838,0.001831243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01348624,"about_ca_system_score_gemma":0.04446179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214698,"about_ca_topic_score_gemma":0.007850394,"domain_scores_codex":[0.4889991,0.391795,0.05781753,0.01459106,0.0432293,0.003567947],"domain_scores_gemma":[0.3090345,0.5328254,0.0386771,0.03058931,0.08190817,0.006965552],"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":[0.0003188624,0.0001248297,0.002098252,0.05467792,0.0008243012,0.0006655981,0.01741807,0.0004694971,0.0003332262,0.3802441,0.3879441,0.1548813],"study_design_scores_gemma":[0.0001009562,0.0001095019,0.00182524,0.1029654,0.000314178,0.0006052891,0.01152586,0.0003246732,0.0001602346,0.1592053,0.7226847,0.0001786389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007568231,0.2823065,0.01041327,0.6217096,0.0799391,0.000352008,0.0005202328,0.00006764856,0.00393486],"genre_scores_gemma":[0.04545256,0.292532,0.05425134,0.515396,0.08416265,0.004134949,0.001726456,0.0004050807,0.001939006],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3203202,"threshold_uncertainty_score":0.8381662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000845992623966,"score_gpt":0.3779526003495627,"score_spread":0.277868001087166,"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."}}