{"id":"W2521732343","doi":"10.1515/pthp-2016-0008","title":"Prospective Descriptive Study of RFID Tag Detection Rates based on Various Exploratory Scenarios Aimed at Identifying Optimal Conditions of Use","year":2016,"lang":"en","type":"article","venue":"Pharmaceutical Technology in Hospital Pharmacy","topic":"RFID technology advancements","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Association des pharmaciens du Canada; Université de Montréal; McGill University; Université Laval","keywords":"Traceability; Radio-frequency identification; Computer science; Reading (process); Identification (biology); Real-time computing; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002945742,0.0004400285,0.0006095722,0.001193519,0.0003785527,0.0009853805,0.0003900476,0.0006920557,0.00225902],"category_scores_gemma":[0.0115182,0.0003306037,0.0006596819,0.0008668541,0.0005814238,0.0009650044,0.0006029931,0.0006367432,0.0005676327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791298,"about_ca_system_score_gemma":0.000402804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004417081,"about_ca_topic_score_gemma":0.0004509458,"domain_scores_codex":[0.997329,0.0007446919,0.0004831848,0.0004855899,0.0006652179,0.0002923122],"domain_scores_gemma":[0.9804232,0.008407275,0.006683807,0.001003969,0.002622245,0.0008595066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001719961,0.001029653,0.9806903,0.0002112215,0.00009234828,0.0005563172,0.001983534,0.0004993555,0.002605204,0.0001068064,0.0001819945,0.01032332],"study_design_scores_gemma":[0.00001532399,0.009248843,0.9794011,0.00004526391,0.00006166245,0.001111166,0.005399118,0.001035058,0.002562708,0.0001024421,0.0009530037,0.00006428865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982992,0.00008197402,0.0007375682,0.000008136506,0.000002907121,0.0001401291,0.0003104461,0.000008976656,0.000410755],"genre_scores_gemma":[0.9984159,0.00007307631,0.0006558254,0.00001434078,0.000004220406,0.0001919019,0.000296203,0.000006933426,0.0003415604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002945742,"threshold_uncertainty_score":0.01557875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786882743867334,"score_gpt":0.3300883164681837,"score_spread":0.2922194890295103,"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."}}