{"id":"W4297229336","doi":"10.3390/mi13101593","title":"Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic","year":2022,"lang":"en","type":"review","venue":"Micromachines","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Drone; Pandemic; Context (archaeology); Business; Coronavirus disease 2019 (COVID-19); Computer security; Computer science; Internet privacy; Risk analysis (engineering); Engineering; Medicine; Disease; Infectious disease (medical specialty); Geography","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"],"consensus_categories":[],"category_scores_codex":[0.001120061,0.0004476021,0.002110429,0.0009856028,0.0001743679,0.00001450954,0.000629303,0.000353697,0.0003032173],"category_scores_gemma":[0.002531219,0.0003150721,0.0004264319,0.001459259,0.0001846587,0.00002624229,0.0005950752,0.00127981,0.00001584597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009140301,"about_ca_system_score_gemma":0.001130774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120444,"about_ca_topic_score_gemma":0.0003651394,"domain_scores_codex":[0.9973574,0.000362927,0.001024911,0.000589031,0.0002774009,0.0003883811],"domain_scores_gemma":[0.9964579,0.001917477,0.0006685088,0.0008416349,0.00002721737,0.00008720918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001517274,0.0002160226,0.006462559,0.02343957,0.0002439004,0.00007558517,0.0006025115,0.00001627459,0.0007681177,0.00006010648,0.001315949,0.9667842],"study_design_scores_gemma":[0.0004814531,0.00007712244,0.00003800391,0.004923603,0.0005766205,0.0006406589,0.0001383618,0.00002593536,0.000007211478,0.0001436205,0.992699,0.0002484237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001096969,0.9925812,0.000009106307,0.004689771,0.0001185611,0.001225832,0.00004611936,0.0001781631,0.0000542886],"genre_scores_gemma":[0.0002362825,0.9948577,0.0002116827,0.003880645,0.000118628,0.0003758796,0.0001236261,0.00009644136,0.0000990593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.991383,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0831209345547477,"score_gpt":0.399614362429156,"score_spread":0.3164934278744083,"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."}}