{"id":"W4281732858","doi":"10.22214/ijraset.2022.43136","title":"Design of Web App for Online Food Services","year":2022,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Food delivery; Computer science; Order (exchange); World Wide Web; Service (business); Quality (philosophy); The Internet; Internet privacy; Business; Advertising; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003424079,0.00005012846,0.00008203197,0.001853153,0.0002517214,0.0001161456,0.001983791,0.00002743964,0.000001651415],"category_scores_gemma":[0.0001467326,0.00004771674,0.00001323149,0.001176174,0.0001082685,0.000319265,0.0007462893,0.0002883525,3.067647e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320891,"about_ca_system_score_gemma":0.0002364961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001027601,"about_ca_topic_score_gemma":4.877163e-7,"domain_scores_codex":[0.9986221,0.000006422535,0.0002256811,0.0001538285,0.0007084627,0.0002835005],"domain_scores_gemma":[0.9991812,0.0001735839,0.0000640922,0.0001181936,0.0004211405,0.00004184164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001149535,0.00009441697,0.00004020491,0.00006110076,0.00002662945,0.000005760718,0.0005429821,0.04354171,0.09910458,0.7222249,0.0001870364,0.1340557],"study_design_scores_gemma":[0.0006446695,0.0003717238,0.00002217294,0.00001907511,5.864067e-7,0.0001002268,0.0004659797,0.9518548,0.005599336,0.02289159,0.01795681,0.00007298608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05417752,0.00007992748,0.9420587,0.002585534,0.0005252792,0.0004021039,0.00004529744,0.00005825756,0.00006740778],"genre_scores_gemma":[0.8412781,0.00002305547,0.1585107,0.00004140642,0.00002855921,0.000106374,0.000003302632,0.000003369716,0.00000513156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9083132,"threshold_uncertainty_score":0.368641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07053251158167051,"score_gpt":0.3602392291217981,"score_spread":0.2897067175401276,"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."}}