{"id":"W4236892268","doi":"10.36334/modsim.2017.i3.khaiter","title":"Towards a systematic approach to resource optimization management in the healthcare domain","year":2017,"lang":"en","type":"article","venue":"MODSIM","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Hospital for Sick Children","keywords":"Health care; Computer science; Resource management (computing); Domain (mathematical analysis); Resource (disambiguation); Knowledge management; Systematic review; Business; MEDLINE; Distributed computing; Mathematics; Computer network; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04243382,0.001673441,0.002972879,0.005900188,0.002486403,0.01297284,0.005147204,0.004778174,0.002611873],"category_scores_gemma":[0.05287087,0.001811925,0.002519805,0.005883966,0.007529646,0.009240706,0.007891189,0.006213888,0.0006964138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008796416,"about_ca_system_score_gemma":0.0360078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01696494,"about_ca_topic_score_gemma":0.02607343,"domain_scores_codex":[0.9652269,0.02264,0.002394935,0.001907517,0.006912277,0.0009183695],"domain_scores_gemma":[0.9518252,0.02788543,0.003497924,0.004849487,0.01047739,0.001464551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005262935,0.000625183,0.005220916,0.0009980731,0.0004975992,0.0003326011,0.001836072,0.1929842,0.0009104275,0.62814,0.01489945,0.1535029],"study_design_scores_gemma":[0.00005246557,0.00005914122,0.0008832314,0.0006579734,0.00006277666,0.00006589851,0.001595916,0.1829342,0.0004406815,0.7921757,0.02101401,0.00005799628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00365048,0.001746729,0.9682916,0.01775066,0.00009746954,0.0004944787,0.0001526348,0.0001941036,0.007621834],"genre_scores_gemma":[0.0654926,0.002093871,0.9288427,0.001071865,0.0002324926,0.0006998532,0.0002547555,0.00008445416,0.00122735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04243382,"threshold_uncertainty_score":0.2244142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3795552765864101,"score_gpt":0.4317982708276975,"score_spread":0.05224299424128742,"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."}}