{"id":"W2768941327","doi":"10.4018/978-1-4666-9787-4.ch133","title":"Selecting the Right RTLS in Hospitals","year":2016,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real-time locating system; Operations management; Computer science; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006113691,0.0004600399,0.0004568356,0.00167889,0.000842776,0.00513027,0.0009637396,0.001529372,0.5619044],"category_scores_gemma":[0.002979164,0.0003498629,0.0004405305,0.00313646,0.0004196469,0.003881621,0.002257986,0.001363619,0.4302685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032014,"about_ca_system_score_gemma":0.001389806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407601,"about_ca_topic_score_gemma":0.004425703,"domain_scores_codex":[0.9994408,0.0001333535,0.00003144993,0.00004744711,0.000250171,0.00009665373],"domain_scores_gemma":[0.9990411,0.0002191934,0.00006863486,0.00005898846,0.000200303,0.0004117836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000955487,0.00001649412,0.0001299421,0.000234918,0.000001488244,0.0001496409,0.0001488379,0.00007777821,0.0002495179,0.00385501,0.8358117,0.1593152],"study_design_scores_gemma":[0.00000550519,0.00001230602,0.0002582986,0.0002774455,0.000001949485,0.0002318401,0.0003254518,0.00003970857,0.0001817283,0.001245964,0.9974114,0.000008515983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001714881,0.01006063,0.00702105,0.01623137,0.003805749,0.000144761,0.002085608,0.004804306,0.9541315],"genre_scores_gemma":[0.009866,0.009117731,0.006943588,0.00395772,0.001117058,0.00008812732,0.0008932177,0.001498653,0.9665179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5619044,"threshold_uncertainty_score":0.6248901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171074236379177,"score_gpt":0.2612441556380793,"score_spread":0.2441367320001616,"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."}}