{"id":"W1975861439","doi":"10.1016/j.pmn.2007.08.001","title":"Right Medication, Right Dose, Right Patient, Right Time, and Right Route: How Do We Select the Right Patient-Controlled Analgesia (PCA) Device?","year":2007,"lang":"en","type":"review","venue":"Pain Management Nursing","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Patient safety; Process (computing); Selection (genetic algorithm); Product (mathematics); Medical emergency; Health care; Intensive care medicine; Computer 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":[0.002475605,0.0008147967,0.002567021,0.00228002,0.000555129,0.001259683,0.001468613,0.001994416,0.003139982],"category_scores_gemma":[0.007535524,0.0003791701,0.0007507213,0.002845888,0.001122313,0.002047685,0.0005522644,0.001957725,0.001503971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156755,"about_ca_system_score_gemma":0.004570275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006001911,"about_ca_topic_score_gemma":0.0145789,"domain_scores_codex":[0.9984518,0.0003889406,0.0002524102,0.0001429762,0.000701704,0.00006214053],"domain_scores_gemma":[0.9955077,0.002782893,0.0007834542,0.00005516506,0.0007649352,0.0001057578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003605775,0.0000626065,0.0006794491,0.01784356,0.0001142994,0.0001259868,0.0001445965,0.0001440822,0.0002306419,0.001066106,0.02068541,0.9588671],"study_design_scores_gemma":[0.0001797566,0.0002815567,0.01298274,0.0781141,0.001087933,0.008641274,0.00181748,0.0005988727,0.001178947,0.007704274,0.8872938,0.00011923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002747642,0.9963427,0.0004018846,0.001606548,0.0002204926,0.00001081269,0.00001645597,0.00001066693,0.001115668],"genre_scores_gemma":[0.00232516,0.9954939,0.0009593805,0.00062329,0.0002023148,0.000009837621,0.00002460218,0.000003009911,0.000358463],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006001911,"threshold_uncertainty_score":0.0130924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572525740869685,"score_gpt":0.3717387016968859,"score_spread":0.336013444288189,"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."}}