{"id":"W3171715214","doi":"","title":"FORECASTING DEMAND FOR PERSONAL PROTECTIVE EQUIPMENT FOR ONTARIO'S ACUTE CARE HOSPITALS DURING THE COVID-19 PANDEMIC","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Personal protective equipment; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Medicine; Acute care; Emergency medicine; Health care; Virology; Economics; Outbreak; Economic growth; Infectious disease (medical specialty); Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002205323,0.0002000046,0.0003323617,0.00008036551,0.00193108,0.0000473559,0.0002964324,0.0002039497,0.001046911],"category_scores_gemma":[0.00576748,0.0001348916,0.000212839,0.0001448146,0.00005720306,0.00008537254,0.000597369,0.0004896884,0.00001380832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116758,"about_ca_system_score_gemma":0.001364864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001795548,"about_ca_topic_score_gemma":0.01233749,"domain_scores_codex":[0.9970548,0.0003042305,0.0006089066,0.0005236004,0.0008286594,0.0006798026],"domain_scores_gemma":[0.9949291,0.004060112,0.0002200366,0.0002505145,0.0002441414,0.0002960439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007149269,0.0001826002,0.04010217,0.003613355,0.0008581103,0.0006801927,0.3590865,0.0001008611,0.0002180455,0.001409612,0.02488705,0.5617123],"study_design_scores_gemma":[0.015883,0.0008347236,0.01618378,0.005533459,0.0005249283,0.0001672022,0.153093,0.01196146,0.00004854957,0.01957026,0.7752392,0.0009604894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5933946,0.000293355,0.399563,0.001847764,0.0007490284,0.003420019,0.00004638821,0.00005973462,0.0006261926],"genre_scores_gemma":[0.9801952,0.00001881425,0.004379713,0.007395355,0.0004362036,0.00379994,0.00003071274,0.0000429873,0.003701118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7503521,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162047658943225,"score_gpt":0.4516972350871757,"score_spread":0.3354924691928532,"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."}}