{"id":"W6931892810","doi":"10.5683/sp3/frjdhe","title":"Machine Learning Based Rapid Self-Assessment and Understanding of COVID-19 Disease Progression to Support Public Policy Decisions","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"Concordia University of Edmonton","keywords":"Action (physics); Big data; Public policy; Measure (data warehouse); Public health policy; Public health; Mental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001810231,0.001178759,0.0006424635,0.001844921,0.0004359912,0.001026634,0.001515713,0.001934411,0.005839377],"category_scores_gemma":[0.005858319,0.0002561888,0.00108646,0.001366366,0.0003230895,0.00101014,0.001369011,0.001634078,0.007195406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841973,"about_ca_system_score_gemma":0.001368028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03748033,"about_ca_topic_score_gemma":0.1016039,"domain_scores_codex":[0.9991921,0.0002498474,0.00007116007,0.0002303042,0.0001509636,0.0001057975],"domain_scores_gemma":[0.9984576,0.0005165428,0.00018833,0.0003822462,0.0003102591,0.0001450908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005589973,0.0004750183,0.07862575,0.0008896029,0.0003100555,0.0003244336,0.000119441,0.02293044,0.001110722,0.003561599,0.8403324,0.05076147],"study_design_scores_gemma":[0.000479037,0.0003979132,0.1058146,0.0008529949,0.0002650302,0.0005807913,0.0007076178,0.1541082,0.004449933,0.02250035,0.7096511,0.0001923742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02228538,0.001238081,0.004874385,0.003156944,0.0003906612,0.0001437428,0.9580507,0.002669926,0.007190109],"genre_scores_gemma":[0.04524561,0.0003374782,0.007543486,0.0005332991,0.00006074332,0.000142693,0.9430893,0.0000691914,0.002978133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03748033,"threshold_uncertainty_score":0.07452434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908353607798446,"score_gpt":0.4916216577200588,"score_spread":0.3007862969402142,"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."}}