{"id":"W4386827511","doi":"10.32388/9rtwt0","title":"Review of: \"Qualitative Analysis of a Time-Delay Transmission Model for COVID-19 Based on Susceptible Populations With Basic Medical History\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Qualitative analysis; Computer science; Virology; Biology; Qualitative research; Medicine; Telecommunications; Sociology; Disease; Infectious disease (medical specialty); Social science; Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002331259,0.0005010547,0.002347809,0.000798535,0.00004120484,0.000003155038,0.0004207423,0.0004046177,0.00353865],"category_scores_gemma":[0.0006362012,0.0003988868,0.0008770939,0.001662712,0.0001053724,0.00004896631,0.00001938221,0.0004528853,0.00001114198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007758417,"about_ca_system_score_gemma":0.001190548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002885245,"about_ca_topic_score_gemma":0.0007894572,"domain_scores_codex":[0.9964373,0.0002715084,0.001296244,0.0005107318,0.001126609,0.0003575959],"domain_scores_gemma":[0.9968551,0.001296039,0.0003773789,0.0007293462,0.0003727034,0.0003694397],"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":[0.00001713872,0.00003510645,4.939808e-7,0.06189382,0.0005525984,0.000001559499,0.0001470014,0.3895986,0.000001054471,0.00008655556,0.5467572,0.0009089015],"study_design_scores_gemma":[0.0003122388,0.0000982876,3.94102e-7,0.04834172,0.004432197,3.712964e-7,0.000008234849,0.8051962,8.092994e-7,0.00002692155,0.1412466,0.0003360478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00000132788,0.1127883,0.8723024,0.009412234,0.0001884292,0.001742504,0.001287841,0.0003504737,0.00192652],"genre_scores_gemma":[0.001359519,0.5246145,0.08999649,0.03884326,0.0004539516,0.004525013,0.09006643,0.001577115,0.2485638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7823059,"threshold_uncertainty_score":0.9998463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149070057430635,"score_gpt":0.3861860835542591,"score_spread":0.2712790778111955,"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."}}