{"id":"W4299945954","doi":"10.1111/jan.15411","title":"When is data too old to inform nursing science and practice?","year":2022,"lang":"en","type":"editorial","venue":"Journal of Advanced Nursing","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Publication; Pace; Welsh; Impact factor; Data collection; Health care; Guideline; Relevance (law); Medicine; Clinical Practice; Medical education; Nursing; History; Political science; Sociology; Social 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":["metaresearch"],"category_scores_codex":[0.216372,0.0008026073,0.003267131,0.006305614,0.006697817,0.02776125,0.005658073,0.01864575,0.005770956],"category_scores_gemma":[0.6771666,0.001777605,0.002096134,0.00530446,0.02064203,0.03945251,0.01248307,0.026856,0.003199906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009603881,"about_ca_system_score_gemma":0.02278118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003030848,"about_ca_topic_score_gemma":0.005206072,"domain_scores_codex":[0.7079122,0.1600892,0.05561704,0.01144931,0.06094975,0.00398253],"domain_scores_gemma":[0.20028,0.6509783,0.05033635,0.02129353,0.06839318,0.008718634],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006414175,0.00009714693,0.009400371,0.01635445,0.0004474392,0.001571459,0.0396603,0.0003201655,0.0006134508,0.06704994,0.4809545,0.3828894],"study_design_scores_gemma":[0.00009161189,0.0001530766,0.00353816,0.03836815,0.0002541917,0.001837075,0.02332232,0.0004588469,0.000880752,0.10912,0.8216277,0.0003481169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002672422,0.06349447,0.01235742,0.8289064,0.08595335,0.0001979389,0.000550265,0.0001573319,0.00571043],"genre_scores_gemma":[0.09474511,0.1430195,0.03149696,0.6070904,0.1152477,0.001401202,0.001135811,0.0008572012,0.005006028],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.783628,"threshold_uncertainty_score":0.9663528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736230337945648,"score_gpt":0.5909980953494297,"score_spread":0.4173750615548649,"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."}}