{"id":"W4417157969","doi":"10.3390/systems13121109","title":"Validation of a Patient Prioritization Tool: Addressing Decision-Support Tools’ Development in Complex Systems","year":2025,"lang":"en","type":"article","venue":"Systems","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval; Transport Canada; Centre for Interdisciplinary Research in Rehabilitation","funders":"Fonds de recherche du Québec – Nature et technologies; Universidade Federal do Paraná","keywords":"Prioritization; Ranking (information retrieval); Process (computing); Health care; Iterative and incremental development; Complex system","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":[0.08110894,0.001844081,0.0009701627,0.003455426,0.001594397,0.006859693,0.004290668,0.002422024,0.00336493],"category_scores_gemma":[0.2583942,0.001235951,0.001251374,0.001706503,0.002576473,0.005289717,0.004807941,0.003301217,0.001157145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002617594,"about_ca_system_score_gemma":0.0131755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004106607,"about_ca_topic_score_gemma":0.002449277,"domain_scores_codex":[0.9457415,0.02990342,0.005671792,0.003438917,0.01360431,0.001640133],"domain_scores_gemma":[0.7080096,0.2123359,0.00775319,0.02685852,0.04256188,0.002480859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001824886,0.003474873,0.040619,0.005788961,0.0005688487,0.002449122,0.02188998,0.1439808,0.04432205,0.03565101,0.01635674,0.6830738],"study_design_scores_gemma":[0.001210583,0.003358271,0.01584388,0.005814101,0.0004745711,0.001699094,0.006076555,0.6804693,0.1389549,0.03355788,0.1119284,0.000612382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1562204,0.0005928224,0.8172657,0.00305442,0.0004436183,0.004112528,0.0009419596,0.01096973,0.006398887],"genre_scores_gemma":[0.2930977,0.0002873375,0.7009382,0.0005512474,0.00005151284,0.001623899,0.00137735,0.001036007,0.001036679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08110894,"threshold_uncertainty_score":0.4289502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397791467465145,"score_gpt":0.4291297414987192,"score_spread":0.2893505947522047,"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."}}