{"id":"W3146593238","doi":"10.18280/isi.260114","title":"E-Service Application: Online Donation to Help Fight COVID-19","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Donation; Coronavirus disease 2019 (COVID-19); Service (business); Ideal (ethics); Computer science; Computer security; Internet privacy; Business; Public relations; Marketing; Political science; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003389812,0.0002017633,0.0002884631,0.0003409123,0.000250462,0.0001502005,0.0001481603,0.0001570001,0.0002787376],"category_scores_gemma":[0.002116905,0.0002125177,0.00008122167,0.00147861,0.00003820805,0.001001298,0.000109981,0.0001597216,0.000656102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367072,"about_ca_system_score_gemma":0.0009708824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004112434,"about_ca_topic_score_gemma":0.0003714347,"domain_scores_codex":[0.9982568,0.00005433219,0.0006657753,0.0002476216,0.0004959318,0.0002795569],"domain_scores_gemma":[0.9975336,0.0002036532,0.0002276865,0.0005451221,0.001091302,0.0003986988],"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":[0.0008993837,0.00143739,0.01686067,0.01391491,0.0004245994,0.0001366652,0.05402253,0.0229217,0.01709975,0.01024611,0.2888021,0.5732343],"study_design_scores_gemma":[0.00135059,0.0001068282,0.0157878,0.0003198793,0.00008395395,0.0001874638,0.001744376,0.008191314,0.005161707,0.0007909876,0.965958,0.000317116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3682323,0.0005059797,0.3279437,0.2929474,0.0009110711,0.003069349,0.0003829905,0.001472703,0.004534627],"genre_scores_gemma":[0.6396625,0.00007201308,0.01241786,0.342828,0.000421525,0.0003593283,0.003925972,0.00003690106,0.0002758787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6771559,"threshold_uncertainty_score":0.8666221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307089225012437,"score_gpt":0.3129083433550237,"score_spread":0.28219942085378,"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."}}