{"id":"W4389060522","doi":"10.55041/ijsrem27053","title":"MERN Stack Based User Authentication Technique for Evernote Application","year":2023,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Computer science; Login; JSON; Node (physics); Interface (matter); Authentication (law); Database; Operating system; World Wide Web; Transport Layer Security; Fat client; Client–server model; Server; Computer security; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083771,0.0005635292,0.0005259642,0.0007740522,0.0009897221,0.001649348,0.001621317,0.0008364684,0.017042],"category_scores_gemma":[0.002129962,0.0004406309,0.0005900717,0.000369811,0.0004254113,0.003679701,0.003297467,0.001177539,0.008660276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006693878,"about_ca_system_score_gemma":0.0009969263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001726085,"about_ca_topic_score_gemma":0.001871909,"domain_scores_codex":[0.9979661,0.000182898,0.0002234183,0.0003263733,0.0009868412,0.0003145132],"domain_scores_gemma":[0.9987858,0.0001072088,0.00007488967,0.0004816047,0.0004747875,0.00007565063],"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":[0.003259441,0.0004960443,0.009033656,0.0009180047,0.0001574894,0.004427621,0.004506194,0.00331359,0.266213,0.08024605,0.1119761,0.5154527],"study_design_scores_gemma":[0.0001379181,0.0004698711,0.005258483,0.0002135023,0.0001894067,0.003451127,0.0007731488,0.0942774,0.3792045,0.01263876,0.5030909,0.0002948854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07805105,0.001059305,0.7016985,0.0009299865,0.0008435794,0.001054494,0.001065073,0.1065611,0.1087369],"genre_scores_gemma":[0.7243249,0.0005024853,0.1399633,0.0008182942,0.0001417467,0.0005335684,0.002083448,0.004031125,0.1276011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.017042,"threshold_uncertainty_score":0.05701119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04917268913225831,"score_gpt":0.3542400297697988,"score_spread":0.3050673406375405,"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."}}