{"id":"W2092597604","doi":"10.1007/s10729-014-9274-2","title":"The impact of directed choice on the design of preventive healthcare facility network under congestion","year":2014,"lang":"en","type":"article","venue":"Health Care Management Science","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"University of Toledo","keywords":"Computer science; Facility location problem; Network congestion; Queueing theory; Health informatics; Queue; Service (business); Health care; Health administration; Location-allocation; Traffic congestion; Integer programming; Throughput; Operations research; Mathematical optimization; Computer network; Transport engineering; Business; Engineering; Telecommunications; Mathematics","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":[0.004609942,0.0001925189,0.0002310675,0.0001713006,0.00110282,0.0001090031,0.0007925008,0.00002709373,0.00004876077],"category_scores_gemma":[0.0003390702,0.0001145029,0.0001051417,0.001744443,0.0004490238,0.0003186328,0.0002893398,0.0001256839,0.00004567486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586314,"about_ca_system_score_gemma":0.00009451595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004630209,"about_ca_topic_score_gemma":0.0006621046,"domain_scores_codex":[0.9974453,0.0002086537,0.0005584727,0.0004318806,0.0008053138,0.0005504224],"domain_scores_gemma":[0.9981082,0.0002278753,0.0003841557,0.000775586,0.0004687794,0.0000353981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002541706,0.0002563024,0.01439944,0.001898852,0.0001379685,3.106843e-7,0.0007982624,0.4209798,0.00001732507,0.4200251,0.03304633,0.1081861],"study_design_scores_gemma":[0.0005568517,0.0002841493,0.9072735,0.0002741631,0.00004474246,1.010405e-7,0.003013396,0.06519533,0.00001347016,0.004742573,0.01828394,0.0003177338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5932541,0.003174079,0.1692797,0.1175738,0.008180567,0.02791862,0.00009548425,0.001298535,0.079225],"genre_scores_gemma":[0.9978619,0.0000986579,0.0001237938,0.001586871,0.00008551214,0.00007533947,0.00001333987,0.000007027475,0.0001475873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8928741,"threshold_uncertainty_score":0.8482108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03976700198912551,"score_gpt":0.3123430847265829,"score_spread":0.2725760827374574,"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."}}