{"id":"W3019062340","doi":"10.12927/hcq.2020.26175","title":"The Impact of a Real-Time Locating System within the Perioperative Environment on Physicians and Patients’ Families","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber River Regional Hospital","funders":"","keywords":"Real-time locating system; Workflow; Perioperative; Perception; Operations management; Medicine; Computer science; Psychology; Engineering; Surgery; Real-time computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00661554,0.0002212912,0.0002042436,0.0003900708,0.003898487,0.001689343,0.0006228666,0.000763404,0.004519754],"category_scores_gemma":[0.02477003,0.000195598,0.0003775314,0.0002899175,0.001626486,0.001323137,0.001648618,0.0007884121,0.0003034677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266718,"about_ca_system_score_gemma":0.004238801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00739231,"about_ca_topic_score_gemma":0.008082743,"domain_scores_codex":[0.9914513,0.006785099,0.0002347804,0.0002519437,0.000722134,0.0005547703],"domain_scores_gemma":[0.9770935,0.0149588,0.002681643,0.0004420462,0.002417002,0.002406975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001315359,0.0008040775,0.2973743,0.001140135,0.0001708668,0.01116061,0.4843251,0.001678435,0.005973417,0.001435198,0.01219063,0.1824318],"study_design_scores_gemma":[0.0000883295,0.003211461,0.1380867,0.0006168131,0.0001658877,0.006746007,0.8095576,0.001359041,0.00378164,0.0007107618,0.03554146,0.000134287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910316,0.0004585534,0.0007880993,0.004264644,0.00004194363,0.00003319058,0.00004713879,0.00001907764,0.003315771],"genre_scores_gemma":[0.9984333,0.000255279,0.0005644788,0.0003169729,0.00001260366,0.00001986378,0.00001173755,0.000004004296,0.0003818316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00739231,"threshold_uncertainty_score":0.03498673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766602846450837,"score_gpt":0.3281028980351259,"score_spread":0.2904368695706175,"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."}}