{"id":"W2892210399","doi":"10.1016/j.jval.2018.05.003","title":"Application of Constrained Optimization Methods in Health Services Research: Report 2 of the ISPOR Optimization Methods Emerging Good Practices Task Force","year":2018,"lang":"en","type":"article","venue":"Value in Health","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary; Alberta Health Services; Tellabs (Canada)","funders":"","keywords":"Task force; Task (project management); Management science; Computer science; Medicine; Engineering; Political science; Systems engineering; Public administration","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04316955,0.0002129955,0.0006971913,0.0007371448,0.001056799,0.00001781142,0.0003958539,0.0003307277,0.00006949234],"category_scores_gemma":[0.003262386,0.0001831084,0.00006494309,0.003351479,0.0002248142,0.0004105437,0.0001539332,0.0009529694,0.000002162584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007003019,"about_ca_system_score_gemma":0.004353817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04300017,"about_ca_topic_score_gemma":0.00170512,"domain_scores_codex":[0.9758713,0.01831292,0.003710523,0.0006584584,0.000632973,0.0008138525],"domain_scores_gemma":[0.9898925,0.002605064,0.004790962,0.0009534785,0.001560003,0.0001979306],"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":[0.00007176201,0.0001667312,0.01236756,0.002486955,0.00001150395,5.882783e-7,0.01575862,0.9570507,0.0002985888,0.004918142,0.00002540035,0.006843404],"study_design_scores_gemma":[0.0006583171,0.000237457,0.001884692,0.001662391,0.000005980622,0.000006742841,0.00893013,0.9847746,0.0002004214,0.0003883721,0.00112652,0.0001244147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006249488,0.0005209501,0.9722942,0.01525015,0.000575451,0.00422718,0.00002621716,0.00005244054,0.0008039471],"genre_scores_gemma":[0.1581676,0.0007655134,0.8397107,0.0006324528,0.0001560594,0.0002668696,0.0001193668,0.00004531824,0.0001361707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1519181,"threshold_uncertainty_score":0.9852583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221371570409141,"score_gpt":0.5923094517570339,"score_spread":0.3701722947161198,"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."}}