{"id":"W2620930470","doi":"10.1017/s0266462317000125","title":"USING THE HEALTH TECHNOLOGY ASSESSMENT TOOLBOX TO FACILITATE PROCUREMENT: THE CASE OF SMART PUMPS IN A CANADIAN HOSPITAL","year":2017,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Audit; Toolbox; Context (archaeology); Procurement; Unit (ring theory); Health technology; Process (computing); Work (physics); Conformity; Conformity assessment; Process management; Operations management; Medicine; Engineering management; Business; Risk analysis (engineering); Computer science; Engineering; Health care; Psychology; Marketing; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006061076,0.0002551918,0.0007250676,0.001798413,0.001736435,0.00003809626,0.002178352,0.0004333144,0.00004652704],"category_scores_gemma":[0.001072099,0.0001826067,0.0001172266,0.0005551465,0.0003540298,0.0002516426,0.0004198801,0.003320159,0.000003884995],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007265403,"about_ca_system_score_gemma":0.01299656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3917506,"about_ca_topic_score_gemma":0.7241727,"domain_scores_codex":[0.9942796,0.0009732347,0.002700559,0.0003512394,0.0006232393,0.001072095],"domain_scores_gemma":[0.9941371,0.0003766806,0.002768465,0.0009135052,0.00151185,0.000292389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000142899,0.0002313348,0.8502692,0.0007280314,0.0001626051,0.001095691,0.01986374,0.0005660871,0.0000131077,0.08442052,0.0005586679,0.04194811],"study_design_scores_gemma":[0.004598122,0.003850502,0.3321603,0.007044354,0.00003243653,0.001395095,0.5780227,0.001471753,0.00003126432,0.01230898,0.0584795,0.0006049832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.476658,0.0009845119,0.0003349759,0.5176936,0.002093812,0.001783706,0.0001889202,0.00002017327,0.0002422222],"genre_scores_gemma":[0.9922968,0.0003140218,0.003433731,0.003616164,0.0001304293,0.0001582013,0.000008870561,0.00002240875,0.00001938608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5581589,"threshold_uncertainty_score":0.9995632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551148122313951,"score_gpt":0.5337438948944301,"score_spread":0.378629082663035,"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."}}