{"id":"W2326160529","doi":"10.1097/nur.0b013e31825aeb80","title":"Energize Staff to Create a Research Agenda","year":2012,"lang":"en","type":"article","venue":"Clinical Nurse Specialist","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gibson Energy (Canada)","funders":"","keywords":"Delphi method; Excellence; Scope (computer science); Work (physics); Foundation (evidence); Nursing; Nursing research; Institution; Public relations; Political science; Medical education; Psychology; Medicine; Computer science; Engineering","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":[0.1356329,0.001891428,0.001738009,0.00676388,0.01395422,0.0272691,0.004074129,0.01138318,0.01733684],"category_scores_gemma":[0.1891334,0.002480125,0.002045966,0.002890745,0.00654876,0.01826987,0.03243693,0.02425238,0.01359543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117681,"about_ca_system_score_gemma":0.04623535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269742,"about_ca_topic_score_gemma":0.00162468,"domain_scores_codex":[0.8436378,0.1062339,0.009853314,0.006632994,0.02444739,0.00919453],"domain_scores_gemma":[0.7959999,0.06548988,0.01579241,0.01359498,0.06176539,0.04735739],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000619287,0.00155544,0.009275941,0.004563391,0.0002427414,0.00292206,0.2589116,0.002581551,0.01451162,0.1365235,0.2519658,0.316327],"study_design_scores_gemma":[0.0001458269,0.0005411964,0.002698635,0.0030268,0.00006608551,0.0008348867,0.1356995,0.002079913,0.002734507,0.0687082,0.7831851,0.000279358],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06888893,0.004531805,0.229925,0.5325553,0.01891338,0.01848037,0.0005305336,0.002805812,0.1233689],"genre_scores_gemma":[0.3177622,0.00693412,0.4501927,0.1066587,0.006406973,0.03246006,0.001367351,0.001515225,0.07670275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8643671,"threshold_uncertainty_score":0.7173039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5548848594733299,"score_gpt":0.6458612729394715,"score_spread":0.0909764134661416,"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."}}