{"id":"W2409419932","doi":"10.7748/en.22.3.15.s16","title":"Making sure staff measure up","year":2014,"lang":"en","type":"article","venue":"Emergency Nurse","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Measure (data warehouse); Psychology; Nursing; Computer science; Medicine; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00140569,0.0001947958,0.0003156623,0.00007622282,0.0007344285,0.000002872372,0.0002181725,0.0003641842,0.003921045],"category_scores_gemma":[0.000284953,0.0001650845,0.00009661561,0.0001786168,0.00001932439,0.00008275203,0.00003231298,0.0007258626,0.001781198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007897607,"about_ca_system_score_gemma":0.0001670024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004121781,"about_ca_topic_score_gemma":0.002127939,"domain_scores_codex":[0.9967736,0.001087916,0.0006833788,0.0003424099,0.0003876933,0.000725004],"domain_scores_gemma":[0.9986337,0.00008437585,0.0002188394,0.0005483814,0.0003026176,0.0002120336],"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":[0.00006698954,0.0001560836,0.06657664,0.001787806,0.00007705425,0.000007079816,0.0488872,0.000005791539,0.0002262882,0.04428982,0.7274219,0.1104974],"study_design_scores_gemma":[0.0004232307,0.0001046751,0.0235002,0.0004515066,0.0000151097,0.000001235485,0.01838616,0.00009225558,0.000004416344,0.001046469,0.9557075,0.0002672264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4018471,0.004860442,0.00171817,0.01853541,0.0440038,0.001773574,0.00004532609,0.0007499805,0.5264663],"genre_scores_gemma":[0.9712612,0.0001438489,0.00006516337,0.0002165554,0.002306799,0.0001135792,0.000007796189,0.00005107302,0.02583397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5694141,"threshold_uncertainty_score":0.998996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1737599837575402,"score_gpt":0.4824986956014875,"score_spread":0.3087387118439473,"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."}}