{"id":"W4388622098","doi":"10.61737/ueti5496","title":"Can we innovate responsibly during a pandemic? : artificial intelligence, digital solutions and SARS-CoV-2","year":2020,"lang":"en","type":"report","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Observatory; Business; Political science; Engineering; Public relations; Virology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003289291,0.0004373544,0.0003214764,0.001538903,0.0008925586,0.004261293,0.0004184862,0.00284322,0.009692352],"category_scores_gemma":[0.006662977,0.00015726,0.0002753673,0.00240242,0.0006336395,0.00325592,0.001061722,0.002054256,0.0008472052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006382579,"about_ca_system_score_gemma":0.01262632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1364405,"about_ca_topic_score_gemma":0.217169,"domain_scores_codex":[0.9991435,0.0002971828,0.00003113857,0.00003615552,0.0002405302,0.0002515938],"domain_scores_gemma":[0.9961128,0.002071144,0.0005337443,0.00004946677,0.0007512312,0.0004815588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002289881,0.0003986345,0.04512225,0.0004618802,0.00005274528,0.0008260228,0.001076696,0.006192791,0.0001931269,0.1658744,0.6653489,0.1142234],"study_design_scores_gemma":[0.00009462403,0.0002776597,0.1515388,0.002404714,0.00008805952,0.0005055835,0.01514542,0.01520361,0.0008781624,0.1113115,0.7023585,0.0001934702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05224853,0.04488302,0.001801982,0.7685888,0.002323974,0.0001668944,0.006658892,0.00008090323,0.123247],"genre_scores_gemma":[0.6796981,0.1483151,0.003730724,0.04322181,0.004688791,0.0004009761,0.004771758,0.00006819457,0.1151046],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1364405,"threshold_uncertainty_score":0.2712926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170863744149982,"score_gpt":0.3252749326981039,"score_spread":0.1081885582831056,"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."}}