{"id":"W3169061343","doi":"10.12700/aph.18.5.2021.5.3","title":"Robotics and Intelligent Systems Against a Pandemic","year":2021,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; General Motors (Canada)","funders":"Emberi Eroforrások Minisztériuma; Magyar Tudományos Akadémia","keywords":"Robotics; Artificial intelligence; Pandemic; Computer science; Coronavirus disease 2019 (COVID-19); Engineering; Robot; Medicine; Infectious disease (medical specialty)","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":[0.0002495642,0.0002358456,0.0004922313,0.0001529081,0.0001175162,0.0000818042,0.0001513,0.0002415703,0.000029894],"category_scores_gemma":[0.0007542868,0.0002252691,0.0001135007,0.0004544892,0.0001228398,0.00006115995,0.0002747771,0.0004743656,0.00003271579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587617,"about_ca_system_score_gemma":0.0003889594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007160748,"about_ca_topic_score_gemma":0.00001687968,"domain_scores_codex":[0.9982262,0.00007234202,0.000423835,0.0005333507,0.0003478949,0.0003963387],"domain_scores_gemma":[0.9981181,0.0004828344,0.0001190896,0.0008438262,0.000154445,0.0002817112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003287252,0.003027421,0.06232474,0.002165301,0.001233047,0.002460673,0.001443403,0.001546245,0.5932024,0.004210541,0.2441065,0.08395106],"study_design_scores_gemma":[0.001799411,0.0004713139,0.01619027,0.00147771,0.0007731983,0.001315225,0.0004350936,0.00864711,0.01467095,0.0001202957,0.953218,0.0008814271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4722178,0.06259616,0.02400044,0.4116155,0.00380306,0.00564005,0.0001115887,0.006173099,0.01384226],"genre_scores_gemma":[0.9817616,0.003269731,0.001916776,0.01184381,0.0001622053,0.00004037157,0.00002985314,0.00005456173,0.0009210689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7091115,"threshold_uncertainty_score":0.9186209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367094453038945,"score_gpt":0.308281143179252,"score_spread":0.2715716978753575,"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."}}