{"id":"W100129486","doi":"10.1007/bf03021034","title":"Using a personal digital assistant enhances gathering of patient data on an acute pain management service: a pilot study","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Queen's University; Ontario Innovation Trust; Purdue University; Cisco Systems","keywords":"Documentation; Medicine; Feeling; Pain assessment; Service (business); Medical emergency; Point of care; Acute care; Nausea; Health care; Physical therapy; Pain management; Computer science; Nursing; Psychology; Surgery","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":[0.008804377,0.0005218593,0.0005581165,0.0010509,0.002155202,0.001330807,0.0008837007,0.0009971438,0.004872763],"category_scores_gemma":[0.02570143,0.0006673532,0.0007650746,0.0008214497,0.001262111,0.001854439,0.001279191,0.001766542,0.0007804969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236145,"about_ca_system_score_gemma":0.003285092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005909029,"about_ca_topic_score_gemma":0.008982601,"domain_scores_codex":[0.9929389,0.004986476,0.0004462826,0.0003996709,0.0006058465,0.0006229105],"domain_scores_gemma":[0.961809,0.02612169,0.001954503,0.001803428,0.003790244,0.004521131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03919987,0.274159,0.4839161,0.001125725,0.0003146238,0.002580649,0.05875026,0.000589972,0.01411305,0.0002636714,0.001241515,0.1237455],"study_design_scores_gemma":[0.009735763,0.5139537,0.4208293,0.0001385091,0.0006576295,0.001173123,0.03835359,0.002860021,0.008163067,0.0001674732,0.003802149,0.0001656968],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985708,0.00001534551,0.0001470107,0.0000509982,0.000008679302,0.0006871464,0.00004294041,0.000007599474,0.0004694247],"genre_scores_gemma":[0.9943306,0.0001108989,0.003161405,0.0002393661,0.0000369786,0.001293996,0.0001034054,0.000009229013,0.0007139883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008804377,"threshold_uncertainty_score":0.04656255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720001038340064,"score_gpt":0.2679588313015978,"score_spread":0.2307588209181971,"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."}}