{"id":"W4308091050","doi":"10.1109/ccece49351.2022.9918251","title":"Intelligent COVID Risk Aversion System","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Systems and Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Risk aversion (psychology); Risk analysis (engineering); Business; Economics; Medicine; Financial economics; Expected utility hypothesis","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":[],"consensus_categories":[],"category_scores_codex":[0.0006322816,0.00006278295,0.00008563617,0.00007487616,0.0005582627,0.00005595114,0.0005323574,0.00001132758,0.0001892801],"category_scores_gemma":[0.00001666364,0.00005379799,0.00005219247,0.0002228278,0.000004751415,0.00009659823,0.0007819651,0.0001681577,0.0002070462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536819,"about_ca_system_score_gemma":0.00003451944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008676448,"about_ca_topic_score_gemma":0.000006790534,"domain_scores_codex":[0.9990011,0.000217962,0.0001362459,0.0002318162,0.0002703563,0.000142498],"domain_scores_gemma":[0.9994442,0.00005507106,0.00007833218,0.0003352632,0.00001484746,0.00007223162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001648178,0.0001039068,0.0323722,0.0001061604,0.00005975782,0.0001527283,0.00629166,0.06248492,0.0003256274,0.7922776,0.051058,0.05475091],"study_design_scores_gemma":[0.000177199,0.0001218628,0.0005370555,0.000006101478,0.000003857232,0.0001099952,0.001405971,0.4699355,0.0001520853,0.0001197802,0.5272819,0.00014859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01652439,0.00007151126,0.9639289,0.0003156059,0.001386147,0.0001272623,0.000001417387,0.0004507274,0.01719406],"genre_scores_gemma":[0.9936293,0.000001831027,0.00363441,0.0002305394,0.00004746698,0.0000183726,0.000001250648,0.00000451968,0.002432315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9771049,"threshold_uncertainty_score":0.4293762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009676639510999212,"score_gpt":0.2213997476962481,"score_spread":0.2117231081852489,"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."}}