{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002341601,0.000771506,0.0004349057,0.0009358493,0.00139629,0.003835609,0.0007124959,0.003445876,0.007894501],"category_scores_gemma":[0.003453435,0.0001984773,0.0004768971,0.0003647025,0.004578215,0.003747535,0.004617865,0.002465068,0.002187632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241369,"about_ca_system_score_gemma":0.001547798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040947,"about_ca_topic_score_gemma":0.0006385965,"domain_scores_codex":[0.998675,0.0005730367,0.00008287537,0.0002030353,0.0003469169,0.0001190675],"domain_scores_gemma":[0.9986939,0.0005968396,0.0001582362,0.0001753758,0.0002301024,0.0001455443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008268198,0.00008040714,0.001245969,0.0005788268,0.0001194187,0.0004301259,0.001360187,0.01279275,0.004717403,0.7193491,0.03566549,0.2235776],"study_design_scores_gemma":[0.00005320788,0.0002751519,0.001076439,0.0007607901,0.00005573506,0.0005315975,0.001163842,0.01672048,0.002239679,0.5785993,0.3984619,0.0000619052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02341173,0.06080076,0.3075545,0.1877521,0.00714288,0.0002448876,0.0002054345,0.001918133,0.4109696],"genre_scores_gemma":[0.7257231,0.04708311,0.1290954,0.01961124,0.005626864,0.0004567774,0.000243925,0.0002265592,0.07193293],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007894501,"threshold_uncertainty_score":0.02640969,"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."}}