{"id":"W4224280245","doi":"10.1109/iciptm54933.2022.9754100","title":"Predictive COVID-19 Risk and Virus Mutation isolation with CNN based Machine learning Technique","year":2022,"lang":"en","type":"article","venue":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Adversarial system; Isolation (microbiology); Artificial neural network; Machine learning; Residual; Data mining; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086047,0.0002057766,0.000226365,0.002182281,0.0003640862,0.00004923608,0.0001869909,0.0001008583,0.0005748637],"category_scores_gemma":[0.001457899,0.0002028963,0.00001539398,0.001612136,0.0002593378,0.0002975243,0.0003555197,0.001209018,0.000002260508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851808,"about_ca_system_score_gemma":0.0001630435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340756,"about_ca_topic_score_gemma":0.0001189651,"domain_scores_codex":[0.9982063,0.0002473445,0.0003308237,0.0006055999,0.0004294957,0.0001804414],"domain_scores_gemma":[0.9982873,0.0003764536,0.000839348,0.0001960529,0.0002559606,0.00004491324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01000861,0.002040891,0.3890146,0.0005161468,0.001122317,0.0008680422,0.001944327,0.006397252,0.006158749,0.5338678,0.001495793,0.04656543],"study_design_scores_gemma":[0.01579586,0.0133687,0.05548737,0.0007426213,0.0006062136,0.0003407692,0.01774963,0.4463739,0.005729275,0.04051857,0.401951,0.001336016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4433661,0.0004462472,0.2495443,0.2727029,0.0005206353,0.006384242,0.0002915635,0.001032757,0.0257113],"genre_scores_gemma":[0.987318,0.0005898734,0.003565443,0.006516161,0.00001539877,0.001401624,0.0001980145,0.00002035083,0.0003751236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5439519,"threshold_uncertainty_score":0.8273872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648218544801297,"score_gpt":0.3662745111450535,"score_spread":0.3197923256970405,"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."}}