{"id":"W2319807938","doi":"10.1097/01.numa.0000366902.65277.43","title":"Nurses and computerized systems","year":2009,"lang":"en","type":"article","venue":"Nursing Management","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victorian Order of Nurses","funders":"","keywords":"MEDLINE; Nursing; Medicine; Psychology; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.005939022,0.0002852663,0.0002852026,0.002927062,0.001384186,0.006605595,0.0006875287,0.003619791,0.07389922],"category_scores_gemma":[0.034294,0.0002828381,0.0002932423,0.003898033,0.002165497,0.009983541,0.001785847,0.001840667,0.00745083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628044,"about_ca_system_score_gemma":0.00386147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00946984,"about_ca_topic_score_gemma":0.01582823,"domain_scores_codex":[0.9954506,0.001836144,0.0003406562,0.0003357058,0.001807226,0.0002297807],"domain_scores_gemma":[0.9710866,0.01955547,0.001771467,0.001131822,0.005243734,0.00121088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005726642,0.0000780354,0.009457133,0.0002833573,0.00001855201,0.0001132592,0.001033814,0.0004825934,0.0001337279,0.2201105,0.4122403,0.3559916],"study_design_scores_gemma":[0.00003104437,0.00005970165,0.01084012,0.001266294,0.00002029117,0.0003948355,0.001893641,0.001153012,0.0002543216,0.07478426,0.9092693,0.00003329489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009358386,0.1009625,0.006066877,0.3864755,0.01722878,0.00008043862,0.0006154596,0.0002425504,0.4789694],"genre_scores_gemma":[0.227537,0.1860812,0.01385755,0.04765992,0.02462443,0.0002394278,0.001082705,0.0002158829,0.4987018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07389922,"threshold_uncertainty_score":0.2472175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385549078349892,"score_gpt":0.4524269944478033,"score_spread":0.4085715036643043,"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."}}