{"id":"W2030848103","doi":"10.1542/peds.2006-0515","title":"Clinical and Education Workload Measurements Using Personal Digital Assistant–Based Software","year":2006,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Workload; Software; Medical physics; Medical education; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0001539413,0.0001043639,0.0001746152,0.00008320367,0.00008298847,0.00005279124,0.00003191125,0.00008679392,0.00003698702],"category_scores_gemma":[0.0003342836,0.00008592879,0.00008801393,0.0001874674,0.00004359654,0.00008938217,0.00001981548,0.0001286854,0.00001118522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005117375,"about_ca_system_score_gemma":0.0005115728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001635818,"about_ca_topic_score_gemma":0.000001460066,"domain_scores_codex":[0.9990636,0.00001464447,0.0002673573,0.000196151,0.0002996513,0.0001585662],"domain_scores_gemma":[0.9994386,0.00007869361,0.00007208782,0.0001023257,0.0001221636,0.0001861604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000245495,0.0002988162,0.9745861,0.00004392985,0.000004706433,0.000004749949,0.000008616504,0.000001066872,0.000007951205,0.000003504411,0.001735996,0.02328003],"study_design_scores_gemma":[0.0009184133,0.00009422968,0.9945988,0.00005664795,0.0001584703,0.00001036171,0.00006004186,0.0002346018,0.000009394125,0.00009312154,0.003620858,0.0001450387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955235,0.001654786,0.001203102,0.0003545546,0.0002878864,0.0001362176,0.000009477813,0.00004632313,0.0007841387],"genre_scores_gemma":[0.9880232,0.00002598661,0.009848851,0.0003340954,0.0009158599,0.000002441252,0.00002927233,0.00001576091,0.0008045949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02313499,"threshold_uncertainty_score":0.3504075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050401698943682,"score_gpt":0.3403901418320919,"score_spread":0.2899884428884099,"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."}}