{"id":"W7084179386","doi":"","title":"DEVELOPING A SIMULATION-BASED DECISION SUPPORT TOOL TO IMPROVE CANCER CARE RESOURCE USE AND PATIENT ACCESS","year":2025,"lang":"en","type":"article","venue":"University Library (University of Saskatchewan)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saskatchewan Cancer Agency","keywords":"Punctuality; Decision support system; Isolation (microbiology); Health care; Scheduling (production processes); Resource (disambiguation); Healthcare system; Clinical decision support system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328892,0.001118008,0.0007888464,0.0009380262,0.0006616524,0.002094968,0.001590416,0.001166142,0.006011158],"category_scores_gemma":[0.007300763,0.0006515367,0.0009147248,0.0006485735,0.000369739,0.001334334,0.001126313,0.001225651,0.0006516336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440156,"about_ca_system_score_gemma":0.002551426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004797,"about_ca_topic_score_gemma":0.01128373,"domain_scores_codex":[0.9992872,0.0003649823,0.00007273455,0.00008525635,0.0001358967,0.0000538671],"domain_scores_gemma":[0.9941631,0.004717932,0.0002020748,0.0002129566,0.0005009797,0.0002029685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003279409,0.0005668076,0.004967573,0.0002113867,0.0001188216,0.0001743765,0.0003419226,0.9458835,0.002261192,0.006132268,0.003080286,0.03593392],"study_design_scores_gemma":[0.00005897937,0.00005293001,0.0001814468,0.00002278298,0.0000202973,0.00001498523,0.0000602466,0.9957818,0.000873167,0.001359993,0.001562099,0.00001129888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2537389,0.0003445001,0.6935663,0.002354987,0.0002602628,0.002377393,0.003485408,0.01721499,0.02665725],"genre_scores_gemma":[0.4978059,0.0003592307,0.4956763,0.000240592,0.00002725683,0.001097997,0.001616988,0.0002508261,0.002924976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01004797,"threshold_uncertainty_score":0.02010936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009225401382593148,"score_gpt":0.2105192419183516,"score_spread":0.2012938405357584,"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."}}