{"id":"W3149289164","doi":"10.3389/frobt.2021.617426","title":"Covid, AI, and Robotics—A Neurologist's Perspective","year":2021,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pace; Perspective (graphical); Coronavirus disease 2019 (COVID-19); Robotics; Context (archaeology); Artificial intelligence; Engineering ethics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Data science; Medicine; Engineering; History; Robot; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001406244,0.0001752417,0.0004029757,0.000152175,0.00008837358,0.00007049538,0.00005582391,0.0001355805,0.00001527305],"category_scores_gemma":[0.0008988787,0.0001753413,0.00004597149,0.000307431,0.0002252092,0.00007058008,0.0001201222,0.0004064398,0.000001777075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530659,"about_ca_system_score_gemma":0.0003421097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009887463,"about_ca_topic_score_gemma":0.00004942457,"domain_scores_codex":[0.9988003,0.0000625079,0.0002031886,0.0004826002,0.0001653174,0.0002860416],"domain_scores_gemma":[0.9991491,0.0001050816,0.00004445994,0.0002658915,0.0001852638,0.0002501371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002880016,0.0007873713,0.6471428,0.00048638,0.0002422786,0.00289094,0.001972561,0.08981286,0.0002753502,0.01693803,0.233945,0.00521843],"study_design_scores_gemma":[0.01625969,0.002064101,0.2909957,0.0009469913,0.001461025,0.001035616,0.00570889,0.4544051,0.0007119452,0.04230617,0.1820058,0.002099014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01065512,0.01461922,0.117752,0.853772,0.001944574,0.0005395086,0.00001980763,0.0001245426,0.0005732035],"genre_scores_gemma":[0.6161136,0.006166243,0.1044688,0.2709517,0.0004368331,0.00002174647,0.00004078533,0.00009986794,0.001700415],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6054585,"threshold_uncertainty_score":0.715021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843853873535977,"score_gpt":0.3011512875897652,"score_spread":0.2827127488544054,"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."}}