{"id":"W4366594397","doi":"10.3390/challe14020021","title":"A Medical Equipment Lifecycle Framework to Improve Healthcare Policy and Sustainability","year":2023,"lang":"en","type":"article","venue":"Challenges","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Sustainability; Business; Standardization; Merge (version control); Donation; Health care; Reuse; Process management; Risk analysis (engineering); Knowledge management; Engineering; Computer science; Political science","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":[0.0005875169,0.0001415493,0.0002600694,0.000157514,0.0000868017,0.000009626629,0.00008335493,0.0001639915,0.00004547427],"category_scores_gemma":[0.0007431121,0.0001233545,0.00004276555,0.0002245321,0.00006699691,0.00002755121,0.0003877185,0.0002416981,0.000138969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003971574,"about_ca_system_score_gemma":0.0001949081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003020267,"about_ca_topic_score_gemma":0.00007689378,"domain_scores_codex":[0.9983087,0.00005979537,0.0002253847,0.0004209424,0.0004790381,0.00050618],"domain_scores_gemma":[0.9985835,0.0001178598,0.00002403447,0.0003905641,0.00002943358,0.0008546212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009157174,0.000153698,0.002692312,0.002869348,0.0000464818,0.0002132213,0.005366391,0.00000292815,0.00001234336,0.0157265,0.001247519,0.9715777],"study_design_scores_gemma":[0.002077816,0.004407846,0.5361331,0.001155478,0.00005875634,0.0000548538,0.05900953,0.0003740954,0.0001639844,0.03524595,0.3606361,0.0006825203],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3126712,0.002378842,0.00006269549,0.6819297,0.0001399423,0.0008540527,0.000005184378,0.000163063,0.001795267],"genre_scores_gemma":[0.9807711,0.009901377,0.0001572248,0.0077026,0.0005532658,0.0001415035,0.000007602681,0.00002509072,0.0007402108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9708952,"threshold_uncertainty_score":0.5030251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016086685250916,"score_gpt":0.3728453817379598,"score_spread":0.3326845148854507,"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."}}