{"id":"W7074131107","doi":"","title":"Pressure injury prediction models for critically-ill patients should consider both the case-mix and local factors","year":2021,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Toronto East General Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Predictive modelling; Blood pressure; Component (thermodynamics); Long-term prediction; MEDLINE; Risk assessment; Clinical prediction rule","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":[0.0001750145,0.0001210299,0.0001112228,0.00005487389,0.000472872,0.00004041856,0.00009967032,0.0002174407,0.00005819355],"category_scores_gemma":[0.0002389557,0.0001030293,0.00007563534,0.0001146035,0.0003107133,0.00002672552,0.0002387347,0.0002642745,9.164974e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002090465,"about_ca_system_score_gemma":0.0001346676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002152217,"about_ca_topic_score_gemma":0.00006600759,"domain_scores_codex":[0.998795,0.0001603115,0.0001036424,0.000382606,0.0002416802,0.0003167388],"domain_scores_gemma":[0.998341,0.00006140095,0.00002703742,0.0002633772,0.001157562,0.0001496858],"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":[0.006108392,0.001827026,0.09098002,0.001116184,0.003527887,0.003858466,0.002314007,0.001939577,0.04539618,0.08692484,0.7258493,0.03015816],"study_design_scores_gemma":[0.006009863,0.004849342,0.04361963,0.0001039373,0.0006590772,0.0004187034,0.03052373,0.006098344,0.04226194,0.004772287,0.8593413,0.001341841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892668,0.00007600269,0.005837755,0.001467078,0.0001662917,0.0005335324,0.0007282087,0.00002465157,0.001899696],"genre_scores_gemma":[0.9970229,0.00009546155,0.0001416572,0.0002032572,0.00008861527,0.000001866436,0.0002707023,0.00001708788,0.002158452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133492,"threshold_uncertainty_score":0.4201411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133231890381888,"score_gpt":0.2743800971784192,"score_spread":0.2530477782746003,"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."}}