{"id":"W4377821759","doi":"10.22214/ijraset.2023.52539","title":"Social Sphere: A MERN Stack Social Media App","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"JavaScript; Computer science; World Wide Web; Perl; Java; Operating system; Stack (abstract data type); Call stack; Web application; Leverage (statistics); 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":[0.001034333,0.0009639761,0.0003368719,0.0008695522,0.000847506,0.001508702,0.0009022764,0.001022007,0.02479995],"category_scores_gemma":[0.002155022,0.0002498371,0.0004262461,0.0003369013,0.0002969707,0.003158478,0.002672016,0.0006313854,0.01015484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219678,"about_ca_system_score_gemma":0.0004081575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538902,"about_ca_topic_score_gemma":0.004363621,"domain_scores_codex":[0.999473,0.0001355732,0.00003154033,0.00006397614,0.0002147805,0.00008101368],"domain_scores_gemma":[0.9987987,0.0004587428,0.0000528412,0.0001543954,0.0002419047,0.0002933684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002555053,0.003017939,0.01619206,0.001263199,0.0001856869,0.004574527,0.005884844,0.001125358,0.02163352,0.006093605,0.4720325,0.4654418],"study_design_scores_gemma":[0.0007024659,0.002814146,0.04596452,0.0005646588,0.0002904442,0.004709787,0.004141278,0.04999188,0.02193767,0.009222911,0.8591192,0.0005409667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.4268227,0.002146611,0.04583152,0.004834837,0.001618243,0.00229801,0.009545504,0.2036932,0.3032094],"genre_scores_gemma":[0.699944,0.001441837,0.06377213,0.003763633,0.0009360333,0.001120403,0.01367567,0.01110788,0.2042384],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02479995,"threshold_uncertainty_score":0.08296406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07804332236786589,"score_gpt":0.4019411866975844,"score_spread":0.3238978643297185,"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."}}