{"id":"W4313271038","doi":"10.1371/journal.pone.0276377","title":"Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"","keywords":"Tray; Procurement; Operations management; Standardization; Perioperative; Medicine; Computer science; Surgery; Engineering; Business; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.002443223,0.001373931,0.001360698,0.0009789057,0.0005555416,0.001836403,0.001215603,0.001368152,0.003004616],"category_scores_gemma":[0.002983107,0.000911438,0.001497756,0.000867573,0.0005702035,0.0009989928,0.0006693521,0.001257391,0.0001837981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002844876,"about_ca_system_score_gemma":0.00359273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03399535,"about_ca_topic_score_gemma":0.01844062,"domain_scores_codex":[0.9992782,0.0003252168,0.00003370632,0.0001319606,0.00007746916,0.0001534339],"domain_scores_gemma":[0.9981599,0.001260592,0.0002273014,0.00004996968,0.0002381832,0.00006403856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005046268,0.00003631538,0.0005596848,0.00001624939,0.00001156292,0.00001745414,0.00001044645,0.9973515,0.0001265524,0.0003621318,0.00008431097,0.00137325],"study_design_scores_gemma":[0.00001715436,0.00005706827,0.0002748368,0.000005087405,0.00001474285,0.000004030967,0.00001374844,0.9991411,0.0001046445,0.0002454423,0.0001165117,0.00000568354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074616,0.0007180431,0.2734509,0.0005521859,0.00007231624,0.0009036571,0.0009538241,0.0004380272,0.01544955],"genre_scores_gemma":[0.9411579,0.0002583665,0.05392414,0.0000751748,0.00001475706,0.0004613166,0.0004034267,0.00004561605,0.003659384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03399535,"threshold_uncertainty_score":0.06759495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08720980173150744,"score_gpt":0.2933159863518041,"score_spread":0.2061061846202967,"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."}}