{"id":"W1960717098","doi":"10.1111/j.1365-2648.2011.05922.x","title":"Using the Theory of Planned Behaviour to predict nurses’ intention to integrate research evidence into clinical decision‐making","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Nursing","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval","funders":"Canadian Institutes of Health Research; Max-Planck-Gesellschaft; World Health Organization","keywords":"Theory of planned behavior; Psychosocial; Normative; Psychology; Norm (philosophy); Variance (accounting); Descriptive statistics; Nursing; Applied psychology; Medicine; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01046353,0.0006844137,0.0006452024,0.001565567,0.0004647227,0.001697367,0.0004883194,0.001031608,0.001645569],"category_scores_gemma":[0.05226996,0.0005748508,0.001776088,0.000939844,0.000975231,0.001556375,0.0006266987,0.001822937,0.0002149084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196611,"about_ca_system_score_gemma":0.002456407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006490557,"about_ca_topic_score_gemma":0.007924529,"domain_scores_codex":[0.9943146,0.003938785,0.0004754433,0.0003558421,0.0006855239,0.0002298773],"domain_scores_gemma":[0.9485828,0.04156273,0.005889215,0.0009430596,0.001991144,0.001031055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003841297,0.001246973,0.9486403,0.0003705656,0.0006150698,0.0001059949,0.002846848,0.006810477,0.0003486105,0.001342808,0.0006011297,0.03668707],"study_design_scores_gemma":[0.0003387132,0.004504253,0.8784741,0.0008697104,0.0007979016,0.000336749,0.003173037,0.0952948,0.001116419,0.01334294,0.001600507,0.0001508956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662243,0.0005704684,0.02760186,0.0008068028,0.00009713647,0.0009584681,0.0003470608,0.0001272092,0.003266869],"genre_scores_gemma":[0.9877538,0.000247906,0.01076332,0.00009643139,0.00001667696,0.0006636918,0.0002263821,0.000006782301,0.0002250467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046353,"threshold_uncertainty_score":0.05533713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4868804094956503,"score_gpt":0.685242490939569,"score_spread":0.1983620814439188,"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."}}