{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002032805,0.001316318,0.001081223,0.002324655,0.001034532,0.003281687,0.003420031,0.0009489381,0.02285121],"category_scores_gemma":[0.005841838,0.0006018976,0.0007860643,0.001280126,0.0003549689,0.002589814,0.00314638,0.0009480981,0.01296761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002865284,"about_ca_system_score_gemma":0.003476071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03335322,"about_ca_topic_score_gemma":0.02193116,"domain_scores_codex":[0.9981647,0.0001322151,0.0001754517,0.0003998881,0.0009651113,0.0001625592],"domain_scores_gemma":[0.9968623,0.0003432226,0.0002779721,0.0006338494,0.001592756,0.0002899171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002590972,0.0008494809,0.05878239,0.0007664027,0.0003384862,0.001093047,0.00112545,0.0252502,0.01220754,0.02775653,0.3276301,0.5416095],"study_design_scores_gemma":[0.0003148342,0.0003508751,0.02258177,0.000206275,0.0003447324,0.001250239,0.0004142663,0.4088897,0.0199951,0.01823407,0.5270338,0.0003842934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0751957,0.002379194,0.4241574,0.002331678,0.0006193737,0.003339955,0.02146665,0.2484765,0.2220335],"genre_scores_gemma":[0.5882617,0.002095958,0.2313027,0.001399091,0.0003141166,0.001570946,0.05025238,0.003278759,0.1215245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03335322,"threshold_uncertainty_score":0.07644486,"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."}}